Galfrè Silvia Giulia
| Snapshot Date: 2025-10-28 13:45 -0400 (Tue, 28 Oct 2025) |
| git_url: https://git.bioconductor.org/packages/COTAN |
| git_branch: devel |
| git_last_commit: f624c05 |
| git_last_commit_date: 2025-10-11 16:40:33 -0400 (Sat, 11 Oct 2025) |
| Back to Multiple platform build/check report for BioC 3.22: simplified long |
|
This page was generated on 2025-10-29 12:05 -0400 (Wed, 29 Oct 2025).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo2 | Linux (Ubuntu 24.04.3 LTS) | x86_64 | 4.5.1 Patched (2025-08-23 r88802) -- "Great Square Root" | 4901 |
| lconway | macOS 12.7.6 Monterey | x86_64 | 4.5.1 Patched (2025-09-10 r88807) -- "Great Square Root" | 4691 |
| kjohnson3 | macOS 13.7.7 Ventura | arm64 | 4.5.1 Patched (2025-09-10 r88807) -- "Great Square Root" | 4637 |
| Click on any hostname to see more info about the system (e.g. compilers) (*) as reported by 'uname -p', except on Windows and Mac OS X | ||||
| Package 460/2361 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| COTAN 2.9.7 (landing page) Galfrè Silvia Giulia
| nebbiolo2 | Linux (Ubuntu 24.04.3 LTS) / x86_64 | OK | OK | OK | | ||||||||
| lconway | macOS 12.7.6 Monterey / x86_64 | OK | OK | OK | OK | | ||||||||
| kjohnson3 | macOS 13.7.7 Ventura / arm64 | OK | OK | OK | OK | | ||||||||
|
To the developers/maintainers of the COTAN package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/COTAN.git to reflect on this report. See Troubleshooting Build Report for more information. - Use the following Renviron settings to reproduce errors and warnings. - If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information. |
| Package: COTAN |
| Version: 2.9.7 |
| Command: /home/biocbuild/bbs-3.22-bioc/R/bin/R CMD check --install=check:COTAN.install-out.txt --library=/home/biocbuild/bbs-3.22-bioc/R/site-library --timings COTAN_2.9.7.tar.gz |
| StartedAt: 2025-10-28 22:21:19 -0400 (Tue, 28 Oct 2025) |
| EndedAt: 2025-10-28 22:49:30 -0400 (Tue, 28 Oct 2025) |
| EllapsedTime: 1690.4 seconds |
| RetCode: 0 |
| Status: OK |
| CheckDir: COTAN.Rcheck |
| Warnings: 0 |
##############################################################################
##############################################################################
###
### Running command:
###
### /home/biocbuild/bbs-3.22-bioc/R/bin/R CMD check --install=check:COTAN.install-out.txt --library=/home/biocbuild/bbs-3.22-bioc/R/site-library --timings COTAN_2.9.7.tar.gz
###
##############################################################################
##############################################################################
* using log directory ‘/home/biocbuild/bbs-3.22-bioc/meat/COTAN.Rcheck’
* using R version 4.5.1 Patched (2025-08-23 r88802)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
gcc (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
GNU Fortran (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
* running under: Ubuntu 24.04.3 LTS
* using session charset: UTF-8
* checking for file ‘COTAN/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘COTAN’ version ‘2.9.7’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... INFO
Imports includes 26 non-default packages.
Importing from so many packages makes the package vulnerable to any of
them becoming unavailable. Move as many as possible to Suggests and
use conditionally.
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘COTAN’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking whether startup messages can be suppressed ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
UniformClusters 65.008 0.091 64.327
CalculatingCOEX 51.493 0.483 50.898
HandlingClusterizations 40.102 0.352 40.104
HeatmapPlots 31.146 0.520 30.870
ParametersEstimations 19.652 0.259 19.893
GenesStatistics 10.240 0.041 9.994
COTAN_ObjectCreation 9.535 0.180 9.435
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
Running ‘outputTestDatasetCreation.R’
Running ‘spelling.R’
Running ‘testthat.R’
OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... OK
* checking PDF version of manual ... OK
* DONE
Status: OK
COTAN.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.22-bioc/R/bin/R CMD INSTALL COTAN ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/bbs-3.22-bioc/R/site-library’ * installing *source* package ‘COTAN’ ... ** this is package ‘COTAN’ version ‘2.9.7’ ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (COTAN)
COTAN.Rcheck/tests/outputTestDatasetCreation.Rout
R version 4.5.1 Patched (2025-08-23 r88802) -- "Great Square Root"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
>
> # Creates the files to be reloaded by the tests for comparisons
>
> outputTestDatasetCreation <-
+ function(testsDir = file.path("tests", "testthat")) {
+ utils::data("test.dataset", package = "COTAN")
+ options(parallelly.fork.enable = TRUE)
+ setLoggingLevel(3L)
+
+ obj <- COTAN(raw = test.dataset)
+ obj <- initializeMetaDataset(objCOTAN = obj, GEO = " ",
+ sequencingMethod = "artificial",
+ sampleCondition = "test")
+
+ obj <- proceedToCoex(objCOTAN = obj, cores = 6L, saveObj = FALSE)
+
+ if (FALSE) {
+ saveRDS(obj, file = file.path(testsDir,"test.COTAN.RDS"))
+ }
+
+ cells.names.test <-
+ getCells(objCOTAN = obj)[c(1L:10L, 591L:610L, 991L:1000L)]
+ genes.names.test <-
+ getGenes(objCOTAN = obj)[c(131L:140L, 291L:310L, 591L: 600L)]
+ saveRDS(cells.names.test, file.path(testsDir, "cells.names.test.RDS"))
+ saveRDS(genes.names.test, file.path(testsDir, "genes.names.test.RDS"))
+
+ pcaRaw <- runPCA(x = getRawData(objCOTAN = obj), rank = 10L,
+ BSPARAM = IrlbaParam(), get.rotation = FALSE)[["x"]]
+
+ pca.raw.test <- pcaRaw[genes.names.test, ]
+ saveRDS(pca.raw.test, file.path(testsDir, "pca.raw.test.RDS"))
+
+ dispersion.test <- getDispersion(objCOTAN = obj)[genes.names.test]
+ saveRDS(dispersion.test, file.path(testsDir, "dispersion.test.RDS"))
+
+ raw.norm.test <-
+ getNuNormData(objCOTAN = obj)[genes.names.test, cells.names.test]
+ saveRDS(raw.norm.test, file.path(testsDir, "raw.norm.test.RDS"))
+
+ coex.test <-
+ getGenesCoex(objCOTAN = obj, genes = genes.names.test, zeroDiagonal = FALSE)
+ saveRDS(coex.test, file.path(testsDir, "coex.test.RDS"))
+
+ lambda.test <- getLambda(objCOTAN = obj)[genes.names.test]
+ saveRDS(lambda.test, file.path(testsDir, "lambda.test.RDS"))
+
+ GDI.test <- calculateGDI(objCOTAN = obj)
+ GDI.test <- GDI.test[genes.names.test, ]
+ saveRDS(GDI.test, file.path(testsDir, "GDI.test.RDS"))
+
+ nu.test <- getNu(objCOTAN = obj)[cells.names.test]
+ saveRDS(nu.test, file.path(testsDir, "nu.test.RDS"))
+
+ pvalues.test <- calculatePValue(objCOTAN = obj,
+ geneSubsetCol = genes.names.test,
+ geneSubsetRow = genes.names.test)
+ saveRDS(pvalues.test, file.path(testsDir, "pvalues.test.RDS"))
+
+ groupMarkers <- list(G1 = c("g-000010", "g-000020", "g-000138"),
+ G2 = c("g-000300", "g-000330", "g-000660"),
+ G3 = c("g-000510", "g-000530", "g-000550",
+ "g-000570", "g-000590"))
+
+ gcsData <- genesCoexSpace(objCOTAN = obj,
+ primaryMarkers = unlist(groupMarkers),
+ numGenesPerMarker = 11L)
+
+ genes.coex.space.test <- gcsData[["GCS"]]
+ saveRDS(genes.coex.space.test,
+ file.path(testsDir, "genes.coex.space.test.RDS"))
+
+ genesClustersData <-
+ establishGenesClusters(objCOTAN = obj,
+ groupMarkers = groupMarkers,
+ numGenesPerMarker = 11L,
+ kCuts = 6L, distance = "cosine",
+ hclustMethod = "ward.D2")
+
+ pca.genes.clusters.test <- genesClustersData[["pca_clusters"]]
+ saveRDS(pca.genes.clusters.test,
+ file.path(testsDir, "pca.genes.clusters.test.RDS"))
+
+ # Make it a less strict check as it is only for testing
+ checker <- new("AdvancedGDIUniformityCheck")
+ checker <- shiftCheckerThresholds(checker, 0.1)
+
+ initialResolution <- 1.3
+ splitData <- cellsUniformClustering(objCOTAN = obj,
+ checker = checker,
+ initialResolution = initialResolution,
+ useCoexEigen = TRUE,
+ dataMethod = "LL",
+ numReducedComp = 50L,
+ cores = 6L, optimizeForSpeed = TRUE,
+ deviceStr = "cuda", saveObj = FALSE)
+
+ split.clusters.test <- splitData[["clusters"]]
+ saveRDS(split.clusters.test,
+ file = file.path(testsDir, "split.clusters.test.RDS"))
+
+ test.dataset.clusters1 <- split.clusters.test
+ save(test.dataset.clusters1, compress = TRUE,
+ file = file.path("data", "test.dataset.clusters1.rda"))
+
+ obj <- addClusterization(objCOTAN = obj,
+ clName = "split",
+ clusters = splitData[["clusters"]],
+ coexDF = splitData[["coex"]])
+
+ coex.clusters.test <- splitData[["coex"]][genes.names.test, ]
+ saveRDS(coex.clusters.test, file.path(testsDir, "coex.clusters.test.RDS"))
+
+ pvalDF <- pValueFromDEA(splitData[["coex"]],
+ getNumCells(objCOTAN = obj),
+ adjustmentMethod = "none")
+
+ pvalues.clusters.test <- pvalDF[genes.names.test, ]
+ saveRDS(pvalues.clusters.test,
+ file.path(testsDir, "pvalues.clusters.test.RDS"))
+
+ mergedData <- mergeUniformCellsClusters(objCOTAN = obj,
+ clusters = splitData[["clusters"]],
+ checkers = checker,
+ batchSize = 1L,
+ cores = 6L,
+ distance = "cosine",
+ hclustMethod = "ward.D2",
+ saveObj = FALSE)
+
+ merge.clusters.test <- mergedData[["clusters"]]
+ saveRDS(merge.clusters.test,
+ file = file.path(testsDir, "merge.clusters.test.RDS"))
+
+ test.dataset.clusters2 <- merge.clusters.test
+ save(test.dataset.clusters2, compress = TRUE,
+ file = file.path("data", "test.dataset.clusters2.rda"))
+
+ obj <- addClusterization(objCOTAN = obj,
+ clName = "merge",
+ clusters = mergedData[["clusters"]],
+ coexDF = mergedData[["coex"]])
+ }
>
> proc.time()
user system elapsed
0.156 0.038 0.183
COTAN.Rcheck/tests/spelling.Rout
R version 4.5.1 Patched (2025-08-23 r88802) -- "Great Square Root"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> if (requireNamespace("spelling", quietly = TRUE))
+ spelling::spell_check_test(vignettes = TRUE, error = FALSE,
+ skip_on_cran = TRUE)
All Done!
>
> proc.time()
user system elapsed
0.136 0.043 0.168
COTAN.Rcheck/tests/testthat.Rout
R version 4.5.1 Patched (2025-08-23 r88802) -- "Great Square Root"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> Sys.setenv(R_TESTS = "")
> library(testthat)
> library(COTAN)
> library(zeallot)
> test_check("COTAN")
Setting new log level to 4
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.68172574043274
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.74335646629333
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00053715705871582
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00634765625
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.977641582489014
Total calculations elapsed time: 3.72788286209106
Calculate genes' COEX (legacy): DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 5 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 4 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 5.53010606765747
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 7 cells batches
Total calculations elapsed time: 0.829502820968628
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75595238095238 | median: 1.07156808035714 | mean: 1.07156808035714
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.65531826019287
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03734183779544 | max: 4.61112297272667 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.758035898208618
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0295487661210321 | median: 0.016072261901129 | mean: 0.016072261901129
`nu` mean: 1.69786080481514
Marginal errors | max: 1.95799528048 | median 1.32268477389029 | mean: 1.33563364783916
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.68059730529785
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.0585450475968788 | max: 3.52739274166646 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.865700006484985
Estimate `nu`: DONE
`nu` change (abs) | max: 0.417150556912302 | median: 0.240156504520849 | mean: 0.240156504520849
`nu` mean: 0.823005947608547
Marginal errors | max: 0.837672524335755 | median 0.704691669139065 | mean: 0.646575831699997
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.79750847816467
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.328845855849147 | max: 4.03031691940854 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.920907735824585
Estimate `nu`: DONE
`nu` change (abs) | max: 0.164439840041 | median: 0.0957105992188852 | mean: 0.0957105992188852
`nu` mean: 1.06872924082212
Marginal errors | max: 0.260109847946692 | median 0.21392791155499 | mean: 0.197565106613054
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.61049652099609
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.229469002841045 | max: 3.87206403670079 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.860368013381958
Estimate `nu`: DONE
`nu` change (abs) | max: 0.05539667181205 | median: 0.0321044921874999 | mean: 0.0321044921874999
`nu` mean: 0.97670782037545
Marginal errors | max: 0.095347789718808 | median 0.0796003827042702 | mean: 0.0725509735761708
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.75932288169861
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.263830434255107 | max: 3.92953043775907 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.760000705718994
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0196209299693411 | median: 0.0114037947200925 | mean: 0.0114037947200925
`nu` mean: 1.00821713524925
Marginal errors | max: 0.0329495161656741 | median 0.0273479725376324 | mean: 0.025029675152131
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.60952186584473
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.251734659898779 | max: 3.9096133246649 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.769083261489868
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0069104540740097 | median: 0.0040109538496062 | mean: 0.0040109538496062
`nu` mean: 0.997100499775596
Marginal errors | max: 0.0116950057438405 | median 0.00972280144873849 | mean: 0.00889105008777538
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.76222538948059
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.256009779031907 | max: 3.91667271750655 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.833223342895508
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00251004753849005 | median: 0.00146484374999994 | mean: 0.00146484374999994
`nu` mean: 1.00104520378849
Marginal errors | max: 0.00430755646112857 | median 0.00358203399504298 | mean: 0.00327684342604062
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.73597502708435
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.254429717857093 | max: 3.91406908073254 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.829808712005615
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00104629156456748 | median: 0.000592910406456731 | mean: 0.000592910406456731
`nu` mean: 0.999546618841889
Marginal errors | max: 0.00162038706091039 | median 0.00134441676098973 | mean: 0.00123030512553282
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.80527281761169
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.255022049769696 | max: 3.91504587939868 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.7931227684021
Estimate `nu`: DONE
`nu` change (abs) | max: 0.000418450901304768 | median: 0.000244140625000028 | mean: 0.000244140625000028
`nu` mean: 1.0001743102763
Marginal errors | max: 0.00071569233034019 | median 0.000597297218559056 | mean: 0.00054590699507937
Total calculations elapsed time: 45.4869334697723
Estimate `dispersion`/`nu`: DONE
Estimate `dispersion`/`nu`: START
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.73288226127625
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.65412878990173
Calculating genes' COEX normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.000643253326416016
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00307607650756836
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.920079946517944
Total calculations elapsed time: 3.57792806625366
Calculate genes' COEX (legacy): DONE
Calculate cells' COEX (legacy): START
Retrieving expected cells' contingency table
calculating NN.. done
calculating YN..NY..YY..t().. done
Expected cells' contingency table elapsed time: 2.65103816986084
Calculating cells' COEX normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.000682353973388672
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00213789939880371
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.859525442123413
Total calculations elapsed time: 3.51338386535645
Calculate cells' COEX (legacy): DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00976467132568359
Calculate `GDI`: DONE
Total calculations elapsed time: 2.92314052581787
Calculate GDI dataframe: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00306844711303711
Calculate `GDI`: DONE
Total calculations elapsed time: 2.52546572685242
Calculate GDI dataframe: DONE
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Selected 5 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Selected 5 genes using HVG_Seurat selector
Running genes' selection: DONE
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer data
Calculating gene means
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating gene variance to mean ratios
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Running genes' selection: START
Given 5 genes as input
Running genes' selection: DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 1.91067242622375
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 1.84798622131348
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Selected 8 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 1.91154193878174
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Selected 8 genes using HVG_Seurat selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 3.04584288597107
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 3.07131028175354
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 2.87632656097412
Elaborating Reduced dimensionality Data Matrix - DONE
Initializing `COTAN` meta-data
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 2.02156209945679
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 1.12235689163208
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75719246031746 | median: 1.07229953342014 | mean: 1.07229953342014
`nu` mean: 1.68489292689732
Marginal errors | max: 1.735699617106 | median 1.37997441333659 | mean: 1.32181397451301
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.91099333763123
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.0655494303592343 | max: 3.54400580804152 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.99149227142334
Estimate `nu`: DONE
`nu` change (abs) | max: 0.402649984216273 | median: 0.231868788425666 | mean: 0.231868788425666
`nu` mean: 0.829218804209393
Marginal errors | max: 0.803248939260364 | median 0.677504196374571 | mean: 0.619386446933351
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 2.18812108039856
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.326019058449519 | max: 4.02612397202046 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 1.04356789588928
Estimate `nu`: DONE
`nu` change (abs) | max: 0.158004893526231 | median: 0.0919692884670312 | mean: 0.0919692884670312
`nu` mean: 1.0660356050592
Marginal errors | max: 0.25067700287536 | median 0.206241644985115 | mean: 0.190402167377958
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.78913354873657
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.230397316576369 | max: 3.87365659194104 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.955533027648926
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0532774732102337 | median: 0.0308837890624999 | mean: 0.0308837890624999
`nu` mean: 0.977606315852266
Marginal errors | max: 0.0916920322976189 | median 0.0765360853958175 | mean: 0.0697673030094085
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.94323110580444
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.263457616228195 | max: 3.928924407347 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 1.03983807563782
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0187878665732679 | median: 0.0109155550210726 | mean: 0.0109155550210726
`nu` mean: 1.0078723115522
Marginal errors | max: 0.0315207323253404 | median 0.0261635598193228 | mean: 0.0239435763640456
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.92099761962891
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.251890641847533 | max: 3.90987172241566 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 1.06614208221436
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00649137083358098 | median: 0.00376680890457393 | mean: 0.00376680890457393
`nu` mean: 0.997275438070993
Marginal errors | max: 0.0109748802265024 | median 0.00912386940474796 | mean: 0.00834350038184244
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.73646116256714
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.255902752363649 | max: 3.91649655995187 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 1.05199456214905
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00230094227000666 | median: 0.00132529141000018 | mean: 0.00132529141000018
`nu` mean: 1.00097565086001
Marginal errors | max: 0.00376864912836616 | median 0.00313421412286008 | mean: 0.00286709489297579
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 2.13885045051575
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.254520292119112 | max: 3.91421850264948 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 1.13372826576233
Estimate `nu`: DONE
`nu` change (abs) | max: 0.000837013154366462 | median: 0.000488281250000028 | mean: 0.000488281250000028
`nu` mean: 0.999651268095634
Marginal errors | max: 0.00144055320514802 | median 0.00119489364392944 | mean: 0.00109355439757213
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.83105278015137
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.255046800817986 | max: 3.9150866760965 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.878356218338013
Estimate `nu`: DONE
`nu` change (abs) | max: 0.000418448154490214 | median: 0.000244140624999917 | mean: 0.000244140624999917
`nu` mean: 1.00017430752949
Marginal errors | max: 0.000715683388516908 | median 0.0005972847342397 | mean: 0.00054589991652243
Total calculations elapsed time: 53.3995742797852
Estimate `dispersion`/`nu`: DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.53930687904358
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000488042831420898
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00127887725830078
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.807811737060547
Total calculations elapsed time: 3.34888553619385
Calculate genes' COEX (legacy): DONE
Calculate cells' COEX (legacy): START
Retrieving expected cells' contingency table
calculating NN.. done
calculating YN..NY..YY..t().. done
Expected cells' contingency table elapsed time: 2.61274433135986
Calculating cells' COEX normalization factor
Calculate cells' normalization factor elapsed time: 0.000535011291503906
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00137543678283691
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.974360942840576
Total calculations elapsed time: 3.58901572227478
Calculate cells' COEX (legacy): DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00331878662109375
Calculate `GDI`: DONE
Total calculations elapsed time: 2.690997838974
Calculate GDI dataframe: DONE
Calculate genes' partial COEX: START
Retrieving expected genes' partial contingency table
calculating partial NN.. done
calculating partial NY..YN..YY.. done
Calculating genes' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0.325
Retrieving observed genes' yes/yes partial contingency table
calculating partial YY.. done
Estimating genes' partial COEX
Total calculations elapsed time: 7.47900414466858
Calculate genes' partial COEX: DONE
Calculate cells' partial COEX: START
Retrieving expected cells' partial contingency table
calculating partial NN.. done
calculating partial YN..NY..YY.. done
Calculating cells' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0
Retrieving observed cells' yes/yes partial contingency table
calculating partial YY.. done
Estimating cells' partial COEX
Total calculations elapsed time: 8.32141900062561
Calculate cells' partial COEX: DONE
Asked to drop 2 genes and 0 cells
Asked to drop 0 genes and 4 cells
Asked to drop 2 genes and 2 cells
Attaching package: 'rlang'
The following objects are masked from 'package:testthat':
is_false, is_null, is_true
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
calculating YY.. done
calculating YY.. done
calculating YN..NY..NN..t().. done
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 3.67628192901611
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
calculating NN.. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.72300410270691
Calculating genes' COEX normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.000787973403930664
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00160050392150879
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.865339279174805
Total calculations elapsed time: 3.59073185920715
Calculate genes' COEX (legacy): DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.63324117660522
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000523805618286133
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00138187408447266
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.940366506576538
Total calculations elapsed time: 3.57551336288452
Calculate genes' COEX (legacy): DONE
Calculate genes' partial COEX: START
Retrieving expected genes' partial contingency table
calculating partial NN.. done
calculating partial NY..YN..YY.. done
Calculating genes' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0.1
Retrieving observed genes' yes/yes partial contingency table
calculating partial YY.. done
Estimating genes' partial COEX
Total calculations elapsed time: 7.62196612358093
Calculate genes' partial COEX: DONE
Calculate genes' partial COEX: START
Retrieving expected genes' partial contingency table
calculating partial NN.. done
calculating partial NY..YN..YY.. done
Calculating genes' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0.4
Retrieving observed genes' yes/yes partial contingency table
calculating partial YY.. done
Estimating genes' partial COEX
Total calculations elapsed time: 7.6101987361908
Calculate genes' partial COEX: DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
calculating YY.. done
calculating YY.. done
calculating NY..YN..NN..t().. done
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 4.26639986038208
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.886879205703735
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75719246031746 | median: 1.07229953342014 | mean: 1.07229953342014
`nu` mean: 1.68489292689732
Marginal errors | max: 0.255290533439036 | median 0.080731376500534 | mean: 0.101968565509112
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 4.22258830070496
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03709166563768 | max: 4.61069655774133 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 1.09705352783203
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0273438105507502 | median: 0.0148852611818011 | mean: 0.0148852611818011
`nu` mean: 1.69735147626627
Marginal errors | max: 0.00330148418741594 | median 0.00111713187082163 | mean: 0.00132007186542964
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 3.4449827671051
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03887279473672 | max: 4.60974134092906 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.938462972640991
Estimate `nu`: DONE
`nu` change (abs) | max: 0 | median: 0 | mean: 0
`nu` mean: 1.69735147626627
Marginal errors | max: 5.14174422185931e-05 | median 1.6818224857218e-07 | mean: 5.57649710835051e-06
Total calculations elapsed time: 23.4256024360657
Estimate `dispersion`/`nu`: DONE
calculating NN.. done
calculating NN.. done
calculating YN..NY..YY..t().. done
Calculate cells' COEX (legacy): START
Retrieving expected cells' contingency table
calculating NN.. done
calculating YN..NY..YY..t().. done
Expected cells' contingency table elapsed time: 2.6208963394165
Calculating cells' COEX normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.000689983367919922
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00143814086914062
Estimating cells' COEX
Calculate cells' COEX elapsed time: 1.0666618347168
Total calculations elapsed time: 3.68968629837036
Calculate cells' COEX (legacy): DONE
Calculate cells' partial COEX: START
Retrieving expected cells' partial contingency table
calculating partial NN.. done
calculating partial YN..NY..YY.. done
Calculating cells' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0
Retrieving observed cells' yes/yes partial contingency table
calculating partial YY.. done
Estimating cells' partial COEX
Total calculations elapsed time: 8.1405234336853
Calculate cells' partial COEX: DONE
Calculate cells' partial COEX: START
Retrieving expected cells' partial contingency table
calculating partial NN.. done
calculating partial YN..NY..YY.. done
Calculating cells' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0
Retrieving observed cells' yes/yes partial contingency table
calculating partial YY.. done
Estimating cells' partial COEX
Total calculations elapsed time: 7.07993698120117
Calculate cells' partial COEX: DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 3.34062957763672
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.855290651321411
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75719246031746 | median: 1.07229953342014 | mean: 1.07229953342014
`nu` mean: 1.68489292689732
Marginal errors | max: 0.255290533439036 | median 0.080731376500534 | mean: 0.101968565509112
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 3.99629044532776
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03709166563768 | max: 4.61069655774133 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.907246589660645
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0273438105507502 | median: 0.0148852611818011 | mean: 0.0148852611818011
`nu` mean: 1.69735147626627
Marginal errors | max: 0.00330148418741594 | median 0.00111713187082163 | mean: 0.00132007186542964
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 4.43738436698914
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03887279473672 | max: 4.60974134092906 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 1.1309072971344
Estimate `nu`: DONE
`nu` change (abs) | max: 0 | median: 0 | mean: 0
`nu` mean: 1.69735147626627
Marginal errors | max: 5.14174422185931e-05 | median 1.6818224857218e-07 | mean: 5.57649710835051e-06
Total calculations elapsed time: 23.6546454429626
Estimate `dispersion`/`nu`: DONE
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.3185887336731
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000519514083862305
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00133347511291504
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.07524490356445
Total calculations elapsed time: 4.39568662643433
Calculate genes' COEX (legacy): DONE
Calculating S: START
Calculating S: DONE
Calculating G: START
calculating YY.. done
calculating YN..NY..NN..t().. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Estimating G
Total calculations elapsed time: 7.78870701789856
Calculating G: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values genome wide on columns and genome wide on rows
Total calculations elapsed time: 0.00235104560852051
calculating PValues: DONE
Using G
Calculating G: START
calculating YY.. done
calculating YN..NY..NN..t().. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Estimating G
Total calculations elapsed time: 7.93862628936768
Calculating G: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Total calculations elapsed time: 7.93978667259216
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00308990478515625
Calculate `GDI`: DONE
Total calculations elapsed time: 2.97660708427429
Calculate GDI dataframe: DONE
Calculate GDI dataframe: START
Using G
Calculating G: START
calculating YY.. done
calculating YN..NY..NN..t().. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Estimating G
Total calculations elapsed time: 7.65585660934448
Calculating G: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00347065925598145
Calculate `GDI`: DONE
Total calculations elapsed time: 11.1153726577759
Calculate GDI dataframe: DONE
Calculate `GDI`: START
Calculating S: START
Calculating S: DONE
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00558948516845703
Calculate `GDI`: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00439882278442383
Calculate `GDI`: DONE
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 1.50572156906128
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 2.81286263465881
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916502 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 3.94386410713196
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.85692977905273
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00942397117614746
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0683369636535645
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.43577480316162
Total calculations elapsed time: 5.37046551704407
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 6.60256123542786
Dataset analysis elapsed time: 12.0521469116211
COTAN dataset analysis: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1000
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 1.38693785667419
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 2.46272325515747
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916502 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 3.56634259223938
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.86192774772644
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00702166557312012
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0634305477142334
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.36513686180115
Total calculations elapsed time: 5.29751682281494
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 6.53632998466492
Dataset analysis elapsed time: 11.4896104335785
COTAN dataset analysis: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Total calculations elapsed time: 0.025299072265625
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0329046249389648
Calculate `GDI`: DONE
Total calculations elapsed time: 3.20263314247131
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1000
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 1.2327127456665
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 2.273033618927
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916502 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 3.22092986106873
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.08211088180542
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00657391548156738
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0623114109039307
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.05914068222046
Total calculations elapsed time: 4.21013689041138
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.22335910797119
Dataset analysis elapsed time: 9.67700171470642
COTAN dataset analysis: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Total calculations elapsed time: 0.0168275833129883
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0326974391937256
Calculate `GDI`: DONE
Total calculations elapsed time: 3.16417598724365
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1000
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 1.0341899394989
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 2.20672106742859
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916502 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 3.13901376724243
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.87283134460449
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00569319725036621
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0613994598388672
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.844591379165649
Total calculations elapsed time: 3.78451538085938
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 4.69446468353271
Dataset analysis elapsed time: 8.86766839027405
COTAN dataset analysis: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Total calculations elapsed time: 0.0052032470703125
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0309464931488037
Calculate `GDI`: DONE
Total calculations elapsed time: 2.76859450340271
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Asked to drop 0 genes and 960 cells
COTAN dataset analysis: START
Asked to drop 83 genes and 0 cells
Genes/cells selection done: dropped [83] genes and [0] cells
Working on [517] genes and [40] cells
Dataset cleaning elapsed time: 0.941098928451538
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.72495412826538
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.267567793681876 | max: 101.923257389521 | % negative: 52.6112185686654
Model parameter estimation elapsed time: 2.58324098587036
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.937240839004517
Dataset analysis elapsed time: 4.46158075332642
COTAN dataset analysis: DONE
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.66513848304749
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00459003448486328
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0123026371002197
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.800237655639648
Total calculations elapsed time: 3.48226881027222
Calculate genes' COEX (legacy): DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.84995293617249
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00472617149353027
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0131356716156006
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.797608137130737
Total calculations elapsed time: 3.66542291641235
Calculate genes' COEX (legacy): DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.83595156669617
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00473451614379883
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0121777057647705
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.872046232223511
Total calculations elapsed time: 3.72491002082825
Calculate genes' COEX (legacy): DONE
Hangling COTAN object with condition: test
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Total calculations elapsed time: 0.00403738021850586
calculating PValues: DONE
Handling genes type: G2
Handling genes type: G3
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Clean plots: START
PCA: START
PCA: DONE
Hierarchical clustering: START
Hierarchical clustering: DONE
Total calculations elapsed time: 2.07622718811035
Clean plots: DONE
Dataset cleaning elapsed time: 4.29308915138245
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 2.20898413658142
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916502 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 3.2373948097229
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.72779607772827
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0068056583404541
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0655028820037842
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.05205774307251
Total calculations elapsed time: 4.85216236114502
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 6.03236937522888
Dataset analysis elapsed time: 13.5628533363342
COTAN dataset analysis: DONE
Saving elaborated data locally at: /tmp/Rtmp4Jhec5/test.cotan.RDS
Creating new clusterization: START
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 3.27157354354858
Elaborating Reduced dimensionality Data Matrix - DONE
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
Number of nodes: 1000
Number of edges: 44886
Running Louvain algorithm with multilevel refinement...
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.4008
Number of communities: 4
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 1.3
Total calculations elapsed time: 4.21788883209229
Creating new clusterization: DONE
Creating cells' uniform clustering: START
In iteration 1 the number of cells to re-cluster is 1000 cells belonging to 0 clusters
Asked to drop no genes or cells
Creating new clusterization: START
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 3.75022411346436
Elaborating Reduced dimensionality Data Matrix - DONE
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
Number of nodes: 1000
Number of edges: 36652
Running Louvain algorithm with multilevel refinement...
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.3743
Number of communities: 4
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 1.3
Total calculations elapsed time: 4.61422610282898
Creating new clusterization: DONE
Creating PDF UMAP in file: /tmp/Rtmp4Jhec5/test/reclustering/pdf_umap_1.pdf
UMAP plot: START
Calculating UMAP: START
22:37:18 UMAP embedding parameters a = 0.9922 b = 1.112
22:37:18 Read 1000 rows and found 65 numeric columns
22:37:18 Using Annoy for neighbor search, n_neighbors = 30
22:37:18 Building Annoy index with metric = cosine, n_trees = 50
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
22:37:18 Writing NN index file to temp file /tmp/Rtmp4Jhec5/file387ea82c62f2e1
22:37:18 Searching Annoy index using 1 thread, search_k = 3000
22:37:19 Annoy recall = 100%
22:37:20 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
22:37:22 Initializing from normalized Laplacian + noise (using RSpectra)
22:37:22 Commencing optimization for 500 epochs, with 39044 positive edges
22:37:22 Using rng type: pcg
Using method 'umap'
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
22:37:24 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 6.22979593276978
UMAP plot: DONE
UMAP plot: START
Calculating UMAP: START
22:37:25 UMAP embedding parameters a = 0.9922 b = 1.112
22:37:25 Read 1000 rows and found 65 numeric columns
22:37:25 Using Annoy for neighbor search, n_neighbors = 30
22:37:25 Building Annoy index with metric = cosine, n_trees = 50
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
22:37:25 Writing NN index file to temp file /tmp/Rtmp4Jhec5/file387ea87f44a2d5
22:37:25 Searching Annoy index using 1 thread, search_k = 3000
22:37:25 Annoy recall = 100%
22:37:26 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
22:37:29 Initializing from normalized Laplacian + noise (using RSpectra)
22:37:29 Commencing optimization for 500 epochs, with 39044 positive edges
22:37:29 Using rng type: pcg
Using method 'umap'
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
22:37:31 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 6.28988814353943
UMAP plot: DONE
* checking uniformity of cluster '0' of 4 clusters
Asked to drop 0 genes and 687 cells
COTAN dataset analysis: START
Asked to drop 43 genes and 0 cells
Genes/cells selection done: dropped [43] genes and [0] cells
Working on [557] genes and [313] cells
Dataset cleaning elapsed time: 0.922548055648804
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 11 iterations
Total calculations elapsed time: 2.05704760551453
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.126565269702225 | max: 788.372048308528 | % negative: 38.5996409335727
Model parameter estimation elapsed time: 3.08281135559082
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.33393812179565
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00531840324401855
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0307879447937012
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.02621340751648
Total calculations elapsed time: 4.39625787734985
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.44316339492798
Dataset analysis elapsed time: 9.4485228061676
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0000' with 313 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0291416645050049
Calculate `GDI`: DONE
Total calculations elapsed time: 3.1457793712616
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0348551273345947
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0000, with size 313, is uniform
Cluster 01_0000's shift to uniformity: -0.0175178017151365
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.0412926391382406, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.37948219828486, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.0323159784560144, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.43089123341141, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.00179533213644524, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.44383613651627, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 1, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.47612588512221, isUniform = TRUE, clusterSize = 313
cluster 01_0000 is uniform
* checking uniformity of cluster '1' of 4 clusters
Asked to drop 0 genes and 743 cells
COTAN dataset analysis: START
Asked to drop 51 genes and 0 cells
Genes/cells selection done: dropped [51] genes and [0] cells
Working on [549] genes and [257] cells
Dataset cleaning elapsed time: 0.999037742614746
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 1.99508452415466
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.112503099391263 | max: 646.681464270838 | % negative: 40.8014571948998
Model parameter estimation elapsed time: 3.000816822052
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.92137479782104
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00534152984619141
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0281243324279785
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.939527273178101
Total calculations elapsed time: 3.89436793327332
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 4.77235651016235
Dataset analysis elapsed time: 8.7722110748291
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0001' with 257 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0279991626739502
Calculate `GDI`: DONE
Total calculations elapsed time: 3.10126209259033
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0376350879669189
Clean plots: DONE
GDI plot
Removed 1 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0001, with size 257, is uniform
Cluster 01_0001's shift to uniformity: -0.0466523594846431
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00910746812386157, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.35034764051536, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00728597449908925, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37278730407697, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.38664163146849, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.45240567481124, isUniform = TRUE, clusterSize = 257
cluster 01_0001 is uniform
* checking uniformity of cluster '2' of 4 clusters
Asked to drop 0 genes and 758 cells
COTAN dataset analysis: START
Asked to drop 77 genes and 0 cells
Genes/cells selection done: dropped [77] genes and [0] cells
Working on [523] genes and [242] cells
Dataset cleaning elapsed time: 1.03638052940369
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 2.07011127471924
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.166254045792573 | max: 224.924342782861 | % negative: 42.6386233269598
Model parameter estimation elapsed time: 3.04861187934875
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.98565459251404
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00457596778869629
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0344443321228027
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.952418088912964
Total calculations elapsed time: 3.9770929813385
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 4.92576432228088
Dataset analysis elapsed time: 9.01075673103333
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0002' with 242 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0247106552124023
Calculate `GDI`: DONE
Total calculations elapsed time: 2.83251714706421
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0354979038238525
Clean plots: DONE
GDI plot
Removed 2 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0002, with size 242, is uniform
Cluster 01_0002's shift to uniformity: -0.0473527936300242
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00764818355640535, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.34964720636998, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00764818355640535, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37472946305404, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.38771313919654, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.43097703442027, isUniform = TRUE, clusterSize = 242
cluster 01_0002 is uniform
* checking uniformity of cluster '3' of 4 clusters
Asked to drop 0 genes and 812 cells
COTAN dataset analysis: START
Asked to drop 79 genes and 0 cells
Genes/cells selection done: dropped [79] genes and [0] cells
Working on [521] genes and [188] cells
Dataset cleaning elapsed time: 0.888736248016357
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 6 iterations
Total calculations elapsed time: 1.91558790206909
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.210007411487223 | max: 67.8701314818728 | % negative: 45.6813819577735
Model parameter estimation elapsed time: 2.87708783149719
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.08905434608459
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00490331649780273
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.023085355758667
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.03552389144897
Total calculations elapsed time: 4.15256690979004
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.07175922393799
Dataset analysis elapsed time: 8.83758330345154
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0003' with 188 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0252854824066162
Calculate `GDI`: DONE
Total calculations elapsed time: 3.0078272819519
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0349066257476807
Clean plots: DONE
GDI plot
Removed 4 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0003, with size 188, is uniform
Cluster 01_0003's shift to uniformity: -0.0672912272435866
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00383877159309021, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.32970877275641, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00191938579654511, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.35752445041521, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.37495297633956, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.4014884302523, isUniform = TRUE, clusterSize = 188
cluster 01_0003 is uniform
Found 4 uniform and 0 non-uniform clusters
Stopping: too few cells left to cluster
Unclustered cell left: 0
The final raw clusterization contains [ 4 ] different clusters: 01_0000, 01_0001, 01_0002, 01_0003
Differential Expression Analysis - START
* DEA on cluster '1' with 313 cells
* DEA on cluster '2' with 257 cells
* DEA on cluster '3' with 242 cells
* DEA on cluster '4' with 188 cells
Total calculations elapsed time: 0.0323526859283447
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1 -> 3, 2 -> 1, 3 -> 2, 4 -> 4
Total calculations elapsed time: 82.5357089042664
Creating cells' uniform clustering: DONE
Applied reordering to clusterization is:
1 -> 1, 2 -> 2, 3 -> 3, 4 -> 4
Asked to drop 0 genes and 812 cells
COTAN dataset analysis: START
Asked to drop 79 genes and 0 cells
Genes/cells selection done: dropped [79] genes and [0] cells
Working on [521] genes and [188] cells
Dataset cleaning elapsed time: 1.05575847625732
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 6 iterations
Total calculations elapsed time: 2.23824667930603
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.210007411487223 | max: 67.8701314818728 | % negative: 45.6813819577735
Model parameter estimation elapsed time: 3.61051630973816
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.30298733711243
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00539946556091309
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0231294631958008
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.09671688079834
Total calculations elapsed time: 4.42823314666748
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.44709849357605
Dataset analysis elapsed time: 10.1133732795715
COTAN dataset analysis: DONE
Checking uniformity for the cluster 'Cluster_4' with 188 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.025475025177002
Calculate `GDI`: DONE
Total calculations elapsed time: 3.28424072265625
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0443165302276611
Clean plots: DONE
GDI plot
Removed 4 low GDI genes (such as the fully-expressed) in GDI plot
Cluster Cluster_4, with size 188, is uniform
Cluster Cluster_4's shift to uniformity: -0.0672912272435866
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00383877159309021, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.32970877275641, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00191938579654511, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.35752445041521, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.37495297633956, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.4014884302523, isUniform = TRUE, clusterSize = 188
Differential Expression Analysis - START
* DEA on cluster '-1' with 50 cells
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 280 cells
* DEA on cluster '4' with 171 cells
Total calculations elapsed time: 0.0315005779266357
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1 -> 4, 2 -> 3, 3 -> 2, 4 -> 1, -1 -> -1
Applied reordering to clusterization is:
1 -> 1, 2 -> 2, 3 -> 3, 4 -> 4, -1 -> -1
Creating cells' uniform clustering: START
In iteration 1 the number of cells to re-cluster is 1000 cells belonging to 0 clusters
Asked to drop no genes or cells
Creating new clusterization: START
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Selected 600 genes using HVG_Seurat selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 3.67065024375916
Elaborating Reduced dimensionality Data Matrix - DONE
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
Number of nodes: 1000
Number of edges: 67288
Running Louvain algorithm with multilevel refinement...
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.3650
Number of communities: 5
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 1.3
Total calculations elapsed time: 4.52392959594727
Creating new clusterization: DONE
Using passed in clusterization
Creating PDF UMAP in file: /tmp/Rtmp4Jhec5/test/reclustering/pdf_umap_1.pdf
UMAP plot: START
Calculating UMAP: START
22:38:58 UMAP embedding parameters a = 0.9922 b = 1.112
22:38:58 Read 1000 rows and found 40 numeric columns
22:38:58 Using Annoy for neighbor search, n_neighbors = 30
22:38:58 Building Annoy index with metric = cosine, n_trees = 50
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
22:38:58 Writing NN index file to temp file /tmp/Rtmp4Jhec5/file387ea84b16fe1f
22:38:58 Searching Annoy index using 1 thread, search_k = 3000
22:38:58 Annoy recall = 100%
22:38:59 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
22:39:01 Found 2 connected components, falling back to 'spca' initialization with init_sdev = 1
22:39:01 Using 'irlba' for PCA
22:39:01 PCA: 2 components explained 36.15% variance
22:39:01 Scaling init to sdev = 1
22:39:01 Commencing optimization for 500 epochs, with 41630 positive edges
22:39:01 Using rng type: pcg
Using method 'umap'
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
22:39:03 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 5.47338676452637
UMAP plot: DONE
UMAP plot: START
Calculating UMAP: START
22:39:04 UMAP embedding parameters a = 0.9922 b = 1.112
22:39:04 Read 1000 rows and found 40 numeric columns
22:39:04 Using Annoy for neighbor search, n_neighbors = 30
22:39:04 Building Annoy index with metric = cosine, n_trees = 50
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
22:39:04 Writing NN index file to temp file /tmp/Rtmp4Jhec5/file387ea82d0aae60
22:39:04 Searching Annoy index using 1 thread, search_k = 3000
22:39:04 Annoy recall = 100%
22:39:05 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
22:39:07 Found 2 connected components, falling back to 'spca' initialization with init_sdev = 1
22:39:07 Using 'irlba' for PCA
22:39:07 PCA: 2 components explained 36.15% variance
22:39:07 Scaling init to sdev = 1
22:39:07 Commencing optimization for 500 epochs, with 41630 positive edges
22:39:07 Using rng type: pcg
Using method 'umap'
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
22:39:09 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 5.4169135093689
UMAP plot: DONE
* checking uniformity of cluster '1' of 2 clusters
Asked to drop 0 genes and 500 cells
COTAN dataset analysis: START
Asked to drop 38 genes and 0 cells
Genes/cells selection done: dropped [38] genes and [0] cells
Working on [562] genes and [500] cells
Dataset cleaning elapsed time: 0.927126169204712
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.89718317985535
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.108871643378045 | max: 295.971778839086 | % negative: 35.0533807829181
Model parameter estimation elapsed time: 2.83770799636841
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.22332692146301
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00682663917541504
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0557727813720703
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.982164621353149
Total calculations elapsed time: 4.26809096336365
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.36240482330322
Dataset analysis elapsed time: 9.12723898887634
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0001' with 500 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0300571918487549
Calculate `GDI`: DONE
Total calculations elapsed time: 2.76797485351562
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0369236469268799
Clean plots: DONE
GDI plot
Removed 2 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0001, with size 500, is uniform
Cluster 01_0001's shift to uniformity: -0.041730199066494
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.0124555160142349, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.35526980093351, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00889679715302491, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.38536328181495, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.40346106115492, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.42565794715045, isUniform = TRUE, clusterSize = 500
cluster 01_0001 is uniform
* checking uniformity of cluster '2' of 2 clusters
Asked to drop 0 genes and 500 cells
COTAN dataset analysis: START
Asked to drop 44 genes and 0 cells
Genes/cells selection done: dropped [44] genes and [0] cells
Working on [556] genes and [500] cells
Dataset cleaning elapsed time: 0.918146371841431
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 2.125736951828
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0636486786621688 | max: 141.389145035675 | % negative: 36.1510791366906
Model parameter estimation elapsed time: 3.13292169570923
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.06314730644226
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00534272193908691
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0385212898254395
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.986851692199707
Total calculations elapsed time: 4.09386301040649
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.07030630111694
Dataset analysis elapsed time: 9.1213743686676
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0002' with 500 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0285582542419434
Calculate `GDI`: DONE
Total calculations elapsed time: 2.87197542190552
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0357601642608643
Clean plots: DONE
GDI plot
Removed 2 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0002, with size 500, is uniform
Cluster 01_0002's shift to uniformity: -0.0413872276843505
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00719424460431655, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.35561277231565, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00359712230215827, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37204026755188, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.38757136821537, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.40876953414106, isUniform = TRUE, clusterSize = 500
cluster 01_0002 is uniform
Found 2 uniform and 0 non-uniform clusters
Stopping: too few cells left to cluster
Unclustered cell left: 0
The final raw clusterization contains [ 2 ] different clusters: 01_0001, 01_0002
Differential Expression Analysis - START
* DEA on cluster '1' with 500 cells
* DEA on cluster '2' with 500 cells
Total calculations elapsed time: 0.0265102386474609
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1 -> 1, 2 -> 2
Total calculations elapsed time: 48.0333881378174
Creating cells' uniform clustering: DONE
findClustersMarkers - START
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'
Total calculations elapsed time: 3.46559047698975
Log Fold Change Analysis - DONE
Total calculations elapsed time: 3.47738766670227
findClustersMarkers - DONE
findClustersMarkers - START
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'
Total calculations elapsed time: 3.66743016242981
Log Fold Change Analysis - DONE
Total calculations elapsed time: 3.67793655395508
findClustersMarkers - DONE
findClustersMarkers - START
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells
Total calculations elapsed time: 0.0285916328430176
Differential Expression Analysis - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'
Total calculations elapsed time: 3.81698656082153
Log Fold Change Analysis - DONE
Total calculations elapsed time: 3.85447478294373
findClustersMarkers - DONE
[1] "Tested cluster: 1"
Asked to drop 0 genes and 743 cells
COTAN dataset analysis: START
Asked to drop 51 genes and 0 cells
Genes/cells selection done: dropped [51] genes and [0] cells
Working on [549] genes and [257] cells
Dataset cleaning elapsed time: 0.85810923576355
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 1.70726466178894
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.112503099391263 | max: 646.681464270838 | % negative: 40.8014571948998
Model parameter estimation elapsed time: 2.54938983917236
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.70165729522705
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00493359565734863
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0284655094146729
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.878485679626465
Total calculations elapsed time: 3.61354207992554
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 4.50454998016357
Dataset analysis elapsed time: 7.91204905509949
COTAN dataset analysis: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0276331901550293
Calculate `GDI`: DONE
Total calculations elapsed time: 2.85316276550293
Calculate GDI dataframe: DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 2.04211521148682
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916502 | max: 462.908586418992 | % negative: 17.3333333333333
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.914276599884033
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.9579336643219
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916502 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 2.8926568031311
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.906668186187744
Dataset analysis elapsed time: 4.71360158920288
COTAN dataset analysis: DONE
Normalizing layer: counts
Performing log-normalization
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Centering and scaling data matrix
|
| | 0%
|
|======================================================================| 100%
PC_ 1
Positive: g-000397, g-000525, g-000460, g-000458, g-000535, g-000217, g-000194, g-000497, g-000432, g-000383
g-000318, g-000486, g-000464, g-000588, g-000549, g-000368, g-000252, g-000151, g-000209, g-000538
g-000325, g-000514, g-000524, g-000244, g-000320, g-000201, g-000499, g-000309, g-000290, g-000483
Negative: g-000415, g-000506, g-000496, g-000579, g-000572, g-000421, g-000455, g-000328, g-000178, g-000567
g-000405, g-000296, g-000387, g-000501, g-000493, g-000481, g-000343, g-000528, g-000551, g-000414
g-000367, g-000594, g-000159, g-000517, g-000574, g-000229, g-000222, g-000533, g-000243, g-000306
PC_ 2
Positive: g-000141, g-000093, g-000089, g-000033, g-000123, g-000557, g-000330, g-000156, g-000142, g-000095
g-000061, g-000235, g-000032, g-000186, g-000056, g-000259, g-000027, g-000041, g-000333, g-000386
g-000009, g-000395, g-000048, g-000116, g-000340, g-000418, g-000035, g-000332, g-000086, g-000040
Negative: g-000088, g-000158, g-000255, g-000115, g-000054, g-000472, g-000554, g-000391, g-000253, g-000226
g-000051, g-000147, g-000541, g-000077, g-000224, g-000194, g-000290, g-000293, g-000313, g-000118
g-000121, g-000220, g-000467, g-000500, g-000341, g-000039, g-000091, g-000249, g-000426, g-000288
PC_ 3
Positive: g-000126, g-000083, g-000086, g-000117, g-000130, g-000010, g-000498, g-000333, g-000047, g-000179
g-000340, g-000035, g-000531, g-000140, g-000527, g-000049, g-000316, g-000031, g-000014, g-000073
g-000218, g-000445, g-000129, g-000175, g-000105, g-000581, g-000404, g-000025, g-000266, g-000354
Negative: g-000096, g-000575, g-000370, g-000337, g-000319, g-000364, g-000308, g-000293, g-000147, g-000307
g-000038, g-000492, g-000541, g-000185, g-000008, g-000482, g-000562, g-000097, g-000222, g-000084
g-000141, g-000377, g-000224, g-000223, g-000136, g-000434, g-000277, g-000426, g-000139, g-000093
PC_ 4
Positive: g-000006, g-000043, g-000462, g-000279, g-000180, g-000576, g-000087, g-000584, g-000498, g-000333
g-000189, g-000088, g-000451, g-000059, g-000135, g-000281, g-000106, g-000429, g-000316, g-000578
g-000303, g-000031, g-000581, g-000026, g-000122, g-000561, g-000546, g-000164, g-000353, g-000300
Negative: g-000072, g-000012, g-000129, g-000052, g-000097, g-000262, g-000080, g-000056, g-000025, g-000092
g-000354, g-000334, g-000423, g-000228, g-000002, g-000010, g-000086, g-000147, g-000185, g-000172
g-000124, g-000009, g-000077, g-000476, g-000126, g-000145, g-000065, g-000268, g-000152, g-000348
PC_ 5
Positive: g-000105, g-000037, g-000110, g-000054, g-000090, g-000389, g-000022, g-000578, g-000289, g-000147
g-000547, g-000011, g-000477, g-000433, g-000200, g-000348, g-000404, g-000003, g-000250, g-000109
g-000402, g-000241, g-000595, g-000341, g-000560, g-000385, g-000413, g-000352, g-000573, g-000265
Negative: g-000051, g-000150, g-000088, g-000476, g-000344, g-000116, g-000428, g-000012, g-000523, g-000394
g-000101, g-000127, g-000069, g-000214, g-000049, g-000357, g-000075, g-000081, g-000576, g-000342
g-000439, g-000018, g-000070, g-000079, g-000015, g-000550, g-000600, g-000247, g-000218, g-000331
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
Number of nodes: 1000
Number of edges: 68107
Running Louvain algorithm with multilevel refinement...
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5999
Number of communities: 2
Elapsed time: 0 seconds
Clusterizations found: RNA_snn_res.0.8, seurat_clusters
Conditions found: orig.ident
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.97242259979248
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 2.03157353401184
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916502 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 2.92241811752319
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.919794082641602
Dataset analysis elapsed time: 4.81463479995728
COTAN dataset analysis: DONE
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.873733043670654
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.96508288383484
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916502 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 2.84891986846924
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.12615728378296
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00543427467346191
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0621051788330078
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.840308427810669
Total calculations elapsed time: 4.0340051651001
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 4.90129160881042
Dataset analysis elapsed time: 8.62394452095032
COTAN dataset analysis: DONE
Calculating gene co-expression space - START
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Total calculations elapsed time: 0.00471210479736328
calculating PValues: DONE
Number of selected secondary markers: 6
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00815558433532715
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 6
Number of rows (U set): 60
Total calculations elapsed time: 0.896568298339844
Calculating gene co-expression space - DONE
Calculating gene co-expression space - START
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Total calculations elapsed time: 0.00634169578552246
calculating PValues: DONE
Number of selected secondary markers: 98
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00789427757263184
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 98
Number of rows (U set): 60
Total calculations elapsed time: 0.991114377975464
Calculating gene co-expression space - DONE
Establishing gene clusters - START
Calculating gene co-expression space - START
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Total calculations elapsed time: 0.00662922859191895
calculating PValues: DONE
Number of selected secondary markers: 98
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00819635391235352
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 98
Number of rows (U set): 60
Total calculations elapsed time: 0.929090738296509
Calculating gene co-expression space - DONE
Total calculations elapsed time: 0.990984916687012
Establishing gene clusters - DONE
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.918777227401733
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 2.11863994598389
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916502 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 3.11251211166382
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 1.03990793228149
Dataset analysis elapsed time: 5.07119727134705
COTAN dataset analysis: DONE
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells
Total calculations elapsed time: 0.0315067768096924
Differential Expression Analysis - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'
Total calculations elapsed time: 3.95124292373657
Log Fold Change Analysis - DONE
clustersDeltaExpression - START
Handling cluster '1' with mean UDE 1.10997640736885
Handling cluster '2' with mean UDE 1.00770245700749
Handling cluster '3' with mean UDE 0.95940682189354
Handling cluster '4' with mean UDE 0.907328369455933
clustersDeltaExpression - DONE
In group G1 there are 3 detected over 3 genes
In group G2 there are 2 detected over 3 genes
In group G3 there are 5 detected over 5 genes
Merging cells' uniform clustering: START
The merge algorithm will use 2 passes
Start merging nearest clusters - the main threshold is: 1.297
Start merging nearest clusters: iteration 1
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells
Total calculations elapsed time: 0.0376558303833008
Differential Expression Analysis - DONE
Updating check results for the 0 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("1", "2")
*1_2-merge
Asked to drop 0 genes and 501 cells
COTAN dataset analysis: START
Asked to drop 16 genes and 0 cells
Genes/cells selection done: dropped [16] genes and [0] cells
Working on [584] genes and [499] cells
Dataset cleaning elapsed time: 0.962948799133301
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 1.96788430213928
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0608154544840047 | max: 1260.06995351592 | % negative: 35.6164383561644
Model parameter estimation elapsed time: 2.85901379585266
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.21793961524963
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00585174560546875
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0400829315185547
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.959429740905762
Total calculations elapsed time: 4.22330403327942
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.25045418739319
Dataset analysis elapsed time: 9.07241678237915
COTAN dataset analysis: DONE
Checking uniformity for the cluster '1_2-merge' with 499 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.031048059463501
Calculate `GDI`: DONE
Total calculations elapsed time: 2.95685029029846
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.035045862197876
Clean plots: DONE
GDI plot
Removed 1 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 1_2-merge, with size 499, is not uniform
Cluster 1_2-merge's shift to uniformity: 0.0566581136434114
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.297, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.178082191780822, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.35365811364341, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.307, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.148972602739726, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37149326865972, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.4, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.00513698630136986, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.38256306292787, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.4, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 3, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.42111642638124, isUniform = FALSE, clusterSize = 499
Clusters 1 and 2 cannot be merged
Finished the first batch - no merges were executed
Loop calculations elapsed time: 16.6390762329102
Start merging nearest clusters: iteration 2
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells
Total calculations elapsed time: 0.0281913280487061
Differential Expression Analysis - DONE
Updating check results for the 1 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("3", "4")
*3_4-merge
Asked to drop 0 genes and 499 cells
COTAN dataset analysis: START
Asked to drop 37 genes and 0 cells
Genes/cells selection done: dropped [37] genes and [0] cells
Working on [563] genes and [501] cells
Dataset cleaning elapsed time: 0.911486148834229
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 11 iterations
Total calculations elapsed time: 1.87247443199158
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.107568326617881 | max: 698.639334552754 | % negative: 32.1492007104796
Model parameter estimation elapsed time: 2.76339411735535
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.95355558395386
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00518488883972168
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0384037494659424
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.875667810440063
Total calculations elapsed time: 3.87281203269958
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 4.81056070327759
Dataset analysis elapsed time: 8.48544096946716
COTAN dataset analysis: DONE
Checking uniformity for the cluster '3_4-merge' with 501 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0288245677947998
Calculate `GDI`: DONE
Total calculations elapsed time: 2.71653175354004
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0348668098449707
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 3_4-merge, with size 501, is not uniform
Cluster 3_4-merge's shift to uniformity: 0.0813107504723223
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.297, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.259325044404973, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.37831075047232, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.307, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.216696269982238, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.41473792188166, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.4, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.0301953818827709, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.43341610223243, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.4, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 17, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.46173948790285, isUniform = FALSE, clusterSize = 501
Clusters 3 and 4 cannot be merged
No clusters will be merged
None of the remaining tested cluster pairs could be merged
Executed all merges for threshold 1.297 out of 2 checks
Start merging nearest clusters - the main threshold is: 1.397
Start merging nearest clusters: iteration 3
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells
Total calculations elapsed time: 0.0285656452178955
Differential Expression Analysis - DONE
Updating check results for the 2 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("2", "4")
*2_4-merge
Asked to drop 0 genes and 570 cells
COTAN dataset analysis: START
Asked to drop 9 genes and 0 cells
Genes/cells selection done: dropped [9] genes and [0] cells
Working on [591] genes and [430] cells
Dataset cleaning elapsed time: 1.0101842880249
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.9096097946167
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0739592351622374 | max: 400.051960722894 | % negative: 25.7191201353638
Model parameter estimation elapsed time: 2.82182097434998
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.05154800415039
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00684309005737305
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0416426658630371
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.04925656318665
Total calculations elapsed time: 4.14929032325745
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.14026379585266
Dataset analysis elapsed time: 8.97226905822754
COTAN dataset analysis: DONE
Checking uniformity for the cluster '2_4-merge' with 430 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0321738719940186
Calculate `GDI`: DONE
Total calculations elapsed time: 3.22008061408997
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0357720851898193
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 2_4-merge, with size 430, is not uniform
Cluster 2_4-merge's shift to uniformity: 3.07228472969514
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.583756345177665, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 3.7954982715656, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.576988155668359, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 4.08354952912925, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.524534686971235, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 4.42722016730736, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 310, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 4.57228472969514, isUniform = FALSE, clusterSize = 430
Clusters 2 and 4 cannot be merged
Clusters 1 and 2 will be merged
Clusters 4 and 3 will be merged
Executed 2 merges
Loop calculations elapsed time: 17.0710499286652
Start merging nearest clusters: iteration 4
Differential Expression Analysis - START
* DEA on cluster '1_2-merge' with 499 cells
* DEA on cluster '3_4-merge' with 501 cells
Total calculations elapsed time: 0.0266344547271729
Differential Expression Analysis - DONE
Updating check results for the 3 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("1_2-merge", "3_4-merge")
*1_2-merge_3_4-merge-merge
Asked to drop no genes or cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.904604196548462
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.98590707778931
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916502 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 3.00268268585205
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.26764321327209
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00580453872680664
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0616381168365479
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.947319030761719
Total calculations elapsed time: 4.28240489959717
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.21997785568237
Dataset analysis elapsed time: 9.12726473808289
COTAN dataset analysis: DONE
Checking uniformity for the cluster '1_2-merge_3_4-merge-merge' with 1000 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0300276279449463
Calculate `GDI`: DONE
Total calculations elapsed time: 2.7082052230835
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0345618724822998
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 1_2-merge_3_4-merge-merge, with size 1000, is not uniform
Cluster 1_2-merge_3_4-merge-merge's shift to uniformity: 3.86988385120409
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.69, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 4.54596809454193, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.678333333333333, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 4.93144728766684, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.593333333333333, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 5.2532296852478, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 356, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 5.36988385120409, isUniform = FALSE, clusterSize = 1000
Clusters 1_2-merge and 3_4-merge cannot be merged
No clusters will be merged
None of the remaining tested cluster pairs could be merged
Executed all merges for threshold 1.397 out of 4 checks
The final merged clusterization contains [2] different clusters: 1_2-merge, 3_4-merge
Differential Expression Analysis - START
* DEA on cluster '1' with 499 cells
* DEA on cluster '2' with 501 cells
Total calculations elapsed time: 0.0262291431427002
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1 -> 1, 2 -> 2
Total calculations elapsed time: 66.4292230606079
Merging cells' uniform clustering: DONE
Applied reordering to clusterization is:
1 -> 1, 2 -> 2
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
Total calculations elapsed time: 1.83328032493591
Log Fold Change Analysis - DONE
[1] "Tested cluster: 1"
Asked to drop 0 genes and 501 cells
COTAN dataset analysis: START
Asked to drop 16 genes and 0 cells
Genes/cells selection done: dropped [16] genes and [0] cells
Working on [584] genes and [499] cells
Dataset cleaning elapsed time: 0.939525604248047
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 1.94317674636841
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0608154544840047 | max: 1260.06995351592 | % negative: 35.6164383561644
Model parameter estimation elapsed time: 2.94410681724548
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 3.2974967956543
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00577640533447266
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0389621257781982
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.892051696777344
Total calculations elapsed time: 4.23428702354431
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.21074962615967
Dataset analysis elapsed time: 9.0943820476532
COTAN dataset analysis: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0308167934417725
Calculate `GDI`: DONE
Total calculations elapsed time: 3.0317018032074
Calculate GDI dataframe: DONE
Dispersion bisection: straddling used 2 iterations
Dispersion bisection: used 8 iterations
Dispersion bisection: straddling used 1 iterations
Dispersion bisection: used 9 iterations
Dispersion Newton-Raphson: used up to 4 iterations
Dispersion Newton-Raphson: used up to 4 iterations
parallel dispersion bisection: straddling used up to 2 iterations
Parallel dispersion bisection: used up to 9 iterations
Parallel dispersion Newton-Raphson: used up to 4 iterations
[ FAIL 0 | WARN 3 | SKIP 0 | PASS 572 ]
[ FAIL 0 | WARN 3 | SKIP 0 | PASS 572 ]
>
> proc.time()
user system elapsed
730.591 3.318 730.234
COTAN.Rcheck/COTAN-Ex.timings
| name | user | system | elapsed | |
| COTAN_Legacy | 0.002 | 0.000 | 0.002 | |
| COTAN_ObjectCreation | 9.535 | 0.180 | 9.435 | |
| CalculatingCOEX | 51.493 | 0.483 | 50.898 | |
| ClustersList | 0.008 | 0.000 | 0.007 | |
| Conversions | 4.657 | 0.037 | 4.693 | |
| GenesStatistics | 10.240 | 0.041 | 9.994 | |
| HandleMetaData | 0.038 | 0.000 | 0.039 | |
| HandlingClusterizations | 40.102 | 0.352 | 40.104 | |
| HandlingConditions | 0.069 | 0.005 | 0.075 | |
| HeatmapPlots | 31.146 | 0.520 | 30.870 | |
| Installing_torch | 0 | 0 | 0 | |
| LoggingFunctions | 0.002 | 0.000 | 0.002 | |
| ParametersEstimations | 19.652 | 0.259 | 19.893 | |
| RawDataCleaning | 4.384 | 0.012 | 4.334 | |
| RawDataGetters | 0.036 | 0.001 | 0.037 | |
| UniformClusters | 65.008 | 0.091 | 64.327 | |
| getColorsVector | 0.001 | 0.000 | 0.001 | |