Back to Multiple platform build/check report for BioC 3.20: simplified long |
|
This page was generated on 2024-10-28 11:49 -0400 (Mon, 28 Oct 2024).
Hostname | OS | Arch (*) | R version | Installed pkgs |
---|---|---|---|---|
teran2 | Linux (Ubuntu 24.04.1 LTS) | x86_64 | 4.4.1 (2024-06-14) -- "Race for Your Life" | 4501 |
nebbiolo2 | Linux (Ubuntu 24.04.1 LTS) | x86_64 | 4.4.1 (2024-06-14) -- "Race for Your Life" | 4761 |
palomino8 | Windows Server 2022 Datacenter | x64 | 4.4.1 (2024-06-14 ucrt) -- "Race for Your Life" | 4504 |
lconway | macOS 12.7.1 Monterey | x86_64 | 4.4.1 (2024-06-14) -- "Race for Your Life" | 4535 |
kjohnson3 | macOS 13.6.5 Ventura | arm64 | 4.4.1 (2024-06-14) -- "Race for Your Life" | 4483 |
kunpeng2 | Linux (openEuler 22.03 LTS-SP1) | aarch64 | 4.4.1 (2024-06-14) -- "Race for Your Life" | 4491 |
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 2019/2289 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
SpatialFeatureExperiment 1.7.4 (landing page) Lambda Moses
| teran2 | Linux (Ubuntu 24.04.1 LTS) / x86_64 | OK | OK | WARNINGS | |||||||||
nebbiolo2 | Linux (Ubuntu 24.04.1 LTS) / x86_64 | OK | OK | WARNINGS | ||||||||||
palomino8 | Windows Server 2022 Datacenter / x64 | OK | OK | WARNINGS | OK | |||||||||
lconway | macOS 12.7.1 Monterey / x86_64 | OK | ERROR | skipped | skipped | |||||||||
kjohnson3 | macOS 13.6.5 Ventura / arm64 | OK | OK | ERROR | OK | |||||||||
kunpeng2 | Linux (openEuler 22.03 LTS-SP1) / aarch64 | OK | ERROR | skipped | ||||||||||
To the developers/maintainers of the SpatialFeatureExperiment package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/SpatialFeatureExperiment.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: SpatialFeatureExperiment |
Version: 1.7.4 |
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:SpatialFeatureExperiment.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings SpatialFeatureExperiment_1.7.4.tar.gz |
StartedAt: 2024-10-28 02:54:02 -0400 (Mon, 28 Oct 2024) |
EndedAt: 2024-10-28 03:04:01 -0400 (Mon, 28 Oct 2024) |
EllapsedTime: 599.9 seconds |
RetCode: 1 |
Status: ERROR |
CheckDir: SpatialFeatureExperiment.Rcheck |
Warnings: NA |
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:SpatialFeatureExperiment.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings SpatialFeatureExperiment_1.7.4.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/Users/biocbuild/bbs-3.20-bioc/meat/SpatialFeatureExperiment.Rcheck’ * using R version 4.4.1 (2024-06-14) * using platform: aarch64-apple-darwin20 * R was compiled by Apple clang version 14.0.0 (clang-1400.0.29.202) GNU Fortran (GCC) 12.2.0 * running under: macOS Ventura 13.6.7 * using session charset: UTF-8 * using option ‘--no-vignettes’ * checking for file ‘SpatialFeatureExperiment/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘SpatialFeatureExperiment’ version ‘1.7.4’ * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ...Warning: unable to access index for repository https://CRAN.R-project.org/src/contrib: cannot open URL 'https://CRAN.R-project.org/src/contrib/PACKAGES' OK * 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 ‘SpatialFeatureExperiment’ 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 dependencies in R code ... NOTE Unexported objects imported by ':::' calls: ‘S4Vectors:::disableValidity’ ‘spdep:::minmax.listw’ See the note in ?`:::` about the use of this operator. * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... NOTE .seu_to_sfe: warning in do.call(setdiff, arg = assays_n): partial argument match of 'arg' to 'args' .seu_to_sfe: warning in do.call(intersect, arg = assays_n): partial argument match of 'arg' to 'args' .seu_to_sfe : <anonymous>: warning in do.call(setdiff, arg = assays_n): partial argument match of 'arg' to 'args' .aggregate_sample_tx: no visible binding for global variable ‘.N’ .aggregate_sample_tx: no visible global function definition for ‘.’ .aggregate_sample_tx: no visible binding for global variable ‘gene’ .aggregate_sample_tx: no visible binding for global variable ‘L1’ .aggregate_sample_tx: no visible binding for global variable ‘grid_id’ .filter_polygons: no visible binding for global variable ‘ID_row’ .no_raw_bytes: no visible binding for global variable ‘xoa_version’ .no_raw_bytes: no visible binding for global variable ‘major_version’ .no_raw_bytes: no visible binding for global variable ‘minor_version’ .no_raw_bytes: no visible binding for global variable ‘instrument_version’ .read10xVisium: no visible global function definition for ‘spatialCoordsNames<-’ addTxTech: no visible binding for global variable ‘gene_col’ addTxTech: no visible binding for global variable ‘cell_col’ addTxTech: no visible binding for global variable ‘fn’ aggregateTx: no visible binding for global variable ‘.N’ aggregateTx: no visible global function definition for ‘.’ aggregateTx: no visible binding for global variable ‘gene’ aggregateTx: no visible binding for global variable ‘grid_id’ aggregateTxTech: no visible binding for global variable ‘gene_col’ aggregateTxTech: no visible binding for global variable ‘cell_col’ aggregateTxTech: no visible binding for global variable ‘fn’ aggregateTxTech: no visible binding for global variable ‘xoa_version’ aggregateTxTech: no visible binding for global variable ‘major_version’ aggregateTxTech: no visible binding for global variable ‘minor_version’ aggregateTxTech: no visible binding for global variable ‘instrument_version’ findVisiumHDGraph: no visible binding for global variable ‘..cols’ formatTxTech: no visible binding for global variable ‘gene_col’ formatTxTech: no visible binding for global variable ‘cell_col’ formatTxTech: no visible binding for global variable ‘fn’ readVizgen: no visible binding for global variable ‘img_df’ readXenium: no visible binding for global variable ‘xoa_version’ readXenium: no visible binding for global variable ‘major_version’ readXenium: no visible binding for global variable ‘minor_version’ readXenium: no visible binding for global variable ‘instrument_version’ readXenium: no visible binding for global variable ‘img_df’ Undefined global functions or variables: . ..cols .N ID_row L1 cell_col fn gene gene_col grid_id img_df instrument_version major_version minor_version spatialCoordsNames<- xoa_version * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... WARNING Missing link or links in Rd file 'readVisiumHD.Rd': ‘Voyager::plotSpatialFeature’ See section 'Cross-references' in the 'Writing R Extensions' manual. * 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 R/sysdata.rda ... OK * checking files in ‘vignettes’ ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed Img-set-SpatialExperiment-method 5.482 0.528 5.666 formatTxSpots 4.844 0.357 5.484 * checking for unstated dependencies in ‘tests’ ... OK * checking tests ... Running ‘testthat.R’ ERROR Running the tests in ‘tests/testthat.R’ failed. Last 13 lines of output: `expected`: TRUE ── Failure ('test-read.R:784:5'): readXenium XOA v2, use csv files ───────────── mean(v$lyr.1, na.rm = TRUE) > 0.89 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-read.R:805:5'): readXenium, flip image ─────────────────────── mean(v$lyr.1, na.rm = TRUE) > 0.89 is not TRUE `actual`: FALSE `expected`: TRUE [ FAIL 21 | WARN 0 | SKIP 10 | PASS 1180 ] Error: Test failures Execution halted * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking running R code from vignettes ... SKIPPED * checking re-building of vignette outputs ... SKIPPED * checking PDF version of manual ... OK * DONE Status: 1 ERROR, 1 WARNING, 2 NOTEs See ‘/Users/biocbuild/bbs-3.20-bioc/meat/SpatialFeatureExperiment.Rcheck/00check.log’ for details.
SpatialFeatureExperiment.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL SpatialFeatureExperiment ### ############################################################################## ############################################################################## * installing to library ‘/Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/library’ * installing *source* package ‘SpatialFeatureExperiment’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading in method for ‘toSpatialFeatureExperiment’ with signature ‘"Seurat"’: no definition for class “Seurat” Creating a generic function for ‘NROW’ from package ‘base’ in package ‘SpatialFeatureExperiment’ Creating a generic function for ‘NCOL’ from package ‘base’ in package ‘SpatialFeatureExperiment’ Creating a generic function for ‘saveRDS’ from package ‘base’ in package ‘SpatialFeatureExperiment’ Creating a generic function for ‘readRDS’ from package ‘base’ in package ‘SpatialFeatureExperiment’ ** 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 (SpatialFeatureExperiment)
SpatialFeatureExperiment.Rcheck/tests/testthat.Rout.fail
R version 4.4.1 (2024-06-14) -- "Race for Your Life" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: aarch64-apple-darwin20 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. > library(testthat) > library(SpatialFeatureExperiment) Attaching package: 'SpatialFeatureExperiment' The following object is masked from 'package:base': scale > > test_check("SpatialFeatureExperiment") Linking to GEOS 3.11.0, GDAL 3.5.3, PROJ 9.1.0; sf_use_s2() is TRUE Loading required package: SummarizedExperiment Loading required package: MatrixGenerics Loading required package: matrixStats Attaching package: 'MatrixGenerics' The following objects are masked from 'package:matrixStats': colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse, colCounts, colCummaxs, colCummins, colCumprods, colCumsums, colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs, colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats, colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds, colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads, colWeightedMeans, colWeightedMedians, colWeightedSds, colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet, rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods, rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps, rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins, rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks, rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars, rowWeightedMads, rowWeightedMeans, rowWeightedMedians, rowWeightedSds, rowWeightedVars Loading required package: GenomicRanges Loading required package: stats4 Loading required package: BiocGenerics Attaching package: 'BiocGenerics' The following object is masked from 'package:SpatialFeatureExperiment': saveRDS The following objects are masked from 'package:stats': IQR, mad, sd, var, xtabs The following objects are masked from 'package:base': Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append, as.data.frame, basename, cbind, colnames, dirname, do.call, duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted, lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rownames, sapply, saveRDS, setdiff, table, tapply, union, unique, unsplit, which.max, which.min Loading required package: S4Vectors Attaching package: 'S4Vectors' The following objects are masked from 'package:Matrix': expand, unname The following object is masked from 'package:utils': findMatches The following objects are masked from 'package:base': I, expand.grid, unname Loading required package: IRanges Loading required package: GenomeInfoDb Loading required package: Biobase Welcome to Bioconductor Vignettes contain introductory material; view with 'browseVignettes()'. To cite Bioconductor, see 'citation("Biobase")', and for packages 'citation("pkgname")'. Attaching package: 'Biobase' The following object is masked from 'package:MatrixGenerics': rowMedians The following objects are masked from 'package:matrixStats': anyMissing, rowMedians Attaching package: 'arrow' The following object is masked from 'package:BiocGenerics': type The following object is masked from 'package:testthat': matches The following object is masked from 'package:utils': timestamp see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221616489f1/xenium2 see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221616489f1/vizgen_cellbound_Cellpose >>> Cell segmentations are found in `.parquet` file(s) >>> Reading cell and nucleus segmentations >>> Making MULTIPOLYGON nuclei geometries >>> Making POLYGON cell geometries >>> Removing 446 cells with area < 15 μm² Sanity checks on cell segmentation polygons: >>> ..found 132 cells with (nested) polygon lists >>> ..applying filtering >>> Removing 2477 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.parquet` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 5826 cells with counts > 0 >>> filtering nucSeg geometries to match 3681 cells with counts > 0 >>> Must use gene symbols as row names when adding transcript spots. >>> Preprocessed sf segmentations found >>> Reading cell and nucleus segmentations >>> Reading cell metadata -> `cells.parquet` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 5826 cells with counts > 0 >>> filtering nucSeg geometries to match 3681 cells with counts > 0 >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk >>> Total of 116 features/genes with no transcript detected or `min_phred` < 20 are removed from SFE object >>> To keep all features -> set `min_phred = NULL` >>> 10X Visium data will be loaded: outs >>> Adding spatial neighborhood graph to sample01 Loading required package: scuttle Loading required package: ggplot2 Attaching package: 'ggplot2' The following object is masked from 'package:SpatialFeatureExperiment': unit Loading required package: spData To access larger datasets in this package, install the spDataLarge package with: `install.packages('spDataLarge', repos='https://nowosad.github.io/drat/', type='source')` see ?SFEData and browseVignettes('SFEData') for documentation loading from cache see ?SFEData and browseVignettes('SFEData') for documentation loading from cache see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62214afc5b85/vizgen_cellbound >>> 1 `.parquet` files exist: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62214afc5b85/vizgen_cellbound/cell_boundaries.parquet >>> using -> /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62214afc5b85/vizgen_cellbound/cell_boundaries.parquet >>> Cell segmentations are found in `.parquet` file >>> Removing 35 cells with area < 15 μm² >>> Checking polygon validity >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221509c762a/vizgen_cellbound >>> Converting transcript spots to geometry >>> 1 `.parquet` files exist: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221509c762a/vizgen_cellbound/cell_boundaries.parquet >>> using -> /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221509c762a/vizgen_cellbound/cell_boundaries.parquet >>> Cell segmentations are found in `.parquet` file >>> Removing 35 cells with area < 15 μm² >>> Checking polygon validity >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk | | | 0% | |= | 2% | |== | 3% | |=== | 5% | |===== | 6% | |====== | 8% | |======= | 10% | |======== | 11% | |========= | 13% | |========== | 15% | |=========== | 16% | |============ | 18% | |============== | 19% | |=============== | 21% | |================ | 23% | |================= | 24% | |================== | 26% | |=================== | 27% | |==================== | 29% | |===================== | 31% | |======================= | 32% | |======================== | 34% | |========================= | 35% | |========================== | 37% | |=========================== | 39% | |============================ | 40% | |============================= | 42% | |============================== | 44% | |================================ | 45% | |================================= | 47% | |================================== | 48% | |=================================== | 50% | |==================================== | 52% | |===================================== | 53% | |====================================== | 55% | |======================================== | 56% | |========================================= | 58% | |========================================== | 60% | |=========================================== | 61% | |============================================ | 63% | |============================================= | 65% | |============================================== | 66% | |=============================================== | 68% | |================================================= | 69% | |================================================== | 71% | |=================================================== | 73% | |==================================================== | 74% | |===================================================== | 76% | |====================================================== | 77% | |======================================================= | 79% | |======================================================== | 81% | |========================================================== | 82% | |=========================================================== | 84% | |============================================================ | 85% | |============================================================= | 87% | |============================================================== | 89% | |=============================================================== | 90% | |================================================================ | 92% | |================================================================= | 94% | |=================================================================== | 95% | |==================================================================== | 97% | |===================================================================== | 98% | |======================================================================| 100% see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62212cd6a9aa/vizgen_cellbound >>> Converting transcript spots to geometry see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622171b822eb/cosmx >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |== | 4% | |=== | 4% | |=== | 5% | |==== | 5% | |==== | 6% | |===== | 6% | |===== | 7% | |===== | 8% | |====== | 8% | |====== | 9% | |======= | 9% | |======= | 10% | |======= | 11% | |======== | 11% | |======== | 12% | |========= | 12% | |========= | 13% | |========= | 14% | |========== | 14% | |========== | 15% | |=========== | 15% | |=========== | 16% | |============ | 16% | |============ | 17% | |============ | 18% | |============= | 18% | |============= | 19% | |============== | 19% | |============== | 20% | |============== | 21% | |=============== | 21% | |=============== | 22% | |================ | 22% | |================ | 23% | |================ | 24% | |================= | 24% | |================= | 25% | |================== | 25% | |================== | 26% | |=================== | 26% | |=================== | 27% | |=================== | 28% | |==================== | 28% | |==================== | 29% | |===================== | 29% | |===================== | 30% | |===================== | 31% | |====================== | 31% | |====================== | 32% | |======================= | 32% | |======================= | 33% | |======================== | 34% | |======================== | 35% | |========================= | 35% | |========================= | 36% | |========================== | 37% | |========================== | 38% | |=========================== | 38% | |=========================== | 39% | |============================ | 39% | |============================ | 40% | |============================ | 41% | |============================= | 41% | |============================= | 42% | |============================== | 42% | |============================== | 43% | |=============================== | 44% | |=============================== | 45% | |================================ | 45% | |================================ | 46% | |================================= | 47% | |================================= | 48% | |================================== | 48% | |================================== | 49% | |=================================== | 49% | |=================================== | 50% | |=================================== | 51% | |==================================== | 51% | |==================================== | 52% | |===================================== | 52% | |===================================== | 53% | |====================================== | 54% | |====================================== | 55% | |======================================= | 55% | |======================================= | 56% | |======================================== | 57% | |======================================== | 58% | |========================================= | 58% | |========================================= | 59% | |========================================== | 59% | |========================================== | 60% | |========================================== | 61% | |=========================================== | 61% | |=========================================== | 62% | |============================================ | 62% | |============================================ | 63% | |============================================= | 64% | |============================================= | 65% | |============================================== | 65% | |============================================== | 66% | |=============================================== | 67% | |=============================================== | 68% | |================================================ | 68% | |================================================ | 69% | |================================================= | 69% | |================================================= | 70% | |================================================= | 71% | |================================================== | 71% | |================================================== | 72% | |=================================================== | 72% | |=================================================== | 73% | |=================================================== | 74% | |==================================================== | 74% | |==================================================== | 75% | |===================================================== | 75% | |===================================================== | 76% | |====================================================== | 76% | |====================================================== | 77% | |====================================================== | 78% | |======================================================= | 78% | |======================================================= | 79% | |======================================================== | 79% | |======================================================== | 80% | |======================================================== | 81% | |========================================================= | 81% | |========================================================= | 82% | |========================================================== | 82% | |========================================================== | 83% | |========================================================== | 84% | |=========================================================== | 84% | |=========================================================== | 85% | |============================================================ | 85% | |============================================================ | 86% | |============================================================= | 86% | |============================================================= | 87% | |============================================================= | 88% | |============================================================== | 88% | |============================================================== | 89% | |=============================================================== | 89% | |=============================================================== | 90% | |=============================================================== | 91% | |================================================================ | 91% | |================================================================ | 92% | |================================================================= | 92% | |================================================================= | 93% | |================================================================= | 94% | |================================================================== | 94% | |================================================================== | 95% | |=================================================================== | 95% | |=================================================================== | 96% | |==================================================================== | 96% | |==================================================================== | 97% | |==================================================================== | 98% | |===================================================================== | 98% | |===================================================================== | 99% | |======================================================================| 99% | |======================================================================| 100% see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62215c1c6836/xenium2 >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk terra 1.7.78 Attaching package: 'terra' The following object is masked from 'package:arrow': buffer The following objects are masked from 'package:SummarizedExperiment': distance, nearest, shift, trim, values, values<-, width The following objects are masked from 'package:GenomicRanges': distance, gaps, nearest, shift, trim, values, values<-, width The following objects are masked from 'package:IRanges': distance, gaps, nearest, shift, trim, width The following objects are masked from 'package:S4Vectors': values, values<-, width The following object is masked from 'package:BiocGenerics': width The following objects are masked from 'package:SpatialFeatureExperiment': centroids, crop, origin, rotate The following objects are masked from 'package:testthat': compare, describe see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221720e139c/cosmx >>> Constructing cell polygons >>> Removing 0 cells with area < 15 μm² >>> Checking polygon validity >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk see ?SFEData and browseVignettes('SFEData') for documentation loading from cache see ?SFEData and browseVignettes('SFEData') for documentation loading from cache trying URL 'https://cf.10xgenomics.com/samples/spatial-exp/2.0.0/Visium_Mouse_Olfactory_Bulb/Visium_Mouse_Olfactory_Bulb_filtered_feature_bc_matrix.h5' Content type 'binary/octet-stream' length 7521734 bytes (7.2 MB) ================================================== downloaded 7.2 MB trying URL 'https://cf.10xgenomics.com/samples/spatial-exp/2.0.0/Visium_Mouse_Olfactory_Bulb/Visium_Mouse_Olfactory_Bulb_spatial.tar.gz' Content type 'application/x-tar' length 7806681 bytes (7.4 MB) ================================================== downloaded 7.4 MB >>> 10X Visium data will be loaded: outs >>> Adding spatial neighborhood graph to sample01 see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62217d83eeec/cosmx >>> Constructing cell polygons >>> Removing 0 cells with area < 15 μm² >>> Checking polygon validity >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk BioFormats library version 7.3.0 Attaching package: 'EBImage' The following objects are masked from 'package:terra': flip, rotate The following object is masked from 'package:SummarizedExperiment': resize The following object is masked from 'package:Biobase': channel The following objects are masked from 'package:GenomicRanges': resize, tile The following objects are masked from 'package:IRanges': resize, tile The following objects are masked from 'package:SpatialFeatureExperiment': affine, rotate, translate, transpose see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221253687cb/xenium_lr >>> Cell segmentations are found in `.csv` file(s) >>> Reading cell and nucleus segmentations >>> Making POLYGON geometries >>> Removing 14 cells with area < 15 μm² >>> Removing 3647 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.csv` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 16310 cells with counts > 0 >>> filtering nucSeg geometries to match 12677 cells with counts > 0 >>> Must use gene symbols as row names when adding transcript spots. >>> Preprocessed sf segmentations found >>> Reading cell and nucleus segmentations >>> Reading cell metadata -> `cells.csv` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 16310 cells with counts > 0 >>> filtering nucSeg geometries to match 12677 cells with counts > 0 >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk >>> Total of 484 features/genes with no transcript detected or `min_phred` < 20 are removed from SFE object >>> To keep all features -> set `min_phred = NULL` see ?SFEData and browseVignettes('SFEData') for documentation loading from cache see ?SFEData and browseVignettes('SFEData') for documentation loading from cache Testing dist_type none style W Testing dist_type idw style W Testing dist_type exp style W Testing dist_type dpd style W Testing dist_type idw style raw Testing dist_type idw style W Testing dist_type idw style B Testing dist_type idw style C Testing dist_type idw style U Testing dist_type idw style minmax Testing dist_type idw style S Testing dist_type none style W Testing dist_type idw style W Testing dist_type exp style W Testing dist_type dpd style W Testing dist_type idw style raw Testing dist_type idw style W Testing dist_type idw style B Testing dist_type idw style C Testing dist_type idw style U Testing dist_type idw style minmax Testing dist_type idw style S see ?SFEData and browseVignettes('SFEData') for documentation loading from cache see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221406a40f6/xenium_lr see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62215d2e005f/vizgen_cellbound see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622120c1c282/xenium_lr see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62212aa22f80/xenium2 >>> Cell segmentations are found in `.parquet` file(s) >>> Reading cell and nucleus segmentations >>> Making MULTIPOLYGON nuclei geometries >>> Making POLYGON cell geometries >>> Removing 446 cells with area < 15 μm² Sanity checks on cell segmentation polygons: >>> ..found 132 cells with (nested) polygon lists >>> ..applying filtering >>> Removing 2477 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.parquet` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 5826 cells with counts > 0 >>> filtering nucSeg geometries to match 3681 cells with counts > 0 see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622122a0e60e/xenium2 >>> Cell segmentations are found in `.parquet` file(s) >>> Reading cell and nucleus segmentations >>> Making MULTIPOLYGON nuclei geometries >>> Making POLYGON cell geometries >>> Removing 446 cells with area < 15 μm² Sanity checks on cell segmentation polygons: >>> ..found 132 cells with (nested) polygon lists >>> ..applying filtering >>> Removing 2477 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.parquet` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 5826 cells with counts > 0 >>> filtering nucSeg geometries to match 3681 cells with counts > 0 see ?SFEData and browseVignettes('SFEData') for documentation loading from cache see ?SFEData and browseVignettes('SFEData') for documentation loading from cache >>> 10X Visium data will be loaded: outs >>> Adding spatial neighborhood graph to sample01 >>> 10X Visium data will be loaded: outs >>> Adding spatial neighborhood graph to sample02 >>> 10X Visium data will be loaded: outs >>> Adding spatial neighborhood graph to sample01 trying URL 'https://cf.10xgenomics.com/samples/spatial-exp/1.0.0/V1_Mouse_Kidney/V1_Mouse_Kidney_filtered_feature_bc_matrix.h5' Content type 'binary/octet-stream' length 10785331 bytes (10.3 MB) ================================================== downloaded 10.3 MB trying URL 'https://cf.10xgenomics.com/samples/spatial-exp/1.0.0/V1_Mouse_Kidney/V1_Mouse_Kidney_spatial.tar.gz' Content type 'application/x-tar' length 8531653 bytes (8.1 MB) ================================================== downloaded 8.1 MB >>> 10X Visium data will be loaded: outs >>> Adding spatial neighborhood graph to sample01 >>> 10X Visium data will be loaded: outs >>> Adding spatial neighborhood graph to sample01 >>> 10X Visium data will be loaded: outs >>> Converting pixels to microns >>> Adding spatial neighborhood graph to sample01 >>> 10X Visium data will be loaded: outs >>> Converting pixels to microns >>> Adding spatial neighborhood graph to sample01 see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622126ca8331/vizgen_cellbound >>> 1 `.parquet` files exist: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622126ca8331/vizgen_cellbound/cell_boundaries.parquet >>> using -> /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622126ca8331/vizgen_cellbound/cell_boundaries.parquet >>> Cell segmentations are found in `.parquet` file >>> Checking polygon validity see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213a231b59/vizgen_cellbound >>> Reading '.hdf5' files.. >>> Checking polygon validity >>> 1 `.parquet` files exist: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213a231b59/vizgen_cellbound/hdf5s_micron_space.parquet >>> using -> /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213a231b59/vizgen_cellbound/hdf5s_micron_space.parquet >>> Removing 3 cells with area < 15 μm² >>> Checking polygon validity see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622128439ca0/vizgen_cellbound >>> Reading '.hdf5' files.. >>> Checking polygon validity see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62216992725c/vizgen_cellbound >>> Reading '.hdf5' files.. >>> Checking polygon validity see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213b3f396e/vizgen_cellbound >>> Reading '.hdf5' files.. >>> Checking polygon validity see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622172c2b079/vizgen_cellbound >>> Reading '.hdf5' files.. >>> Checking polygon validity >>> Reading '.hdf5' files.. >>> Checking polygon validity see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213e2a3d37/vizgen_cellbound >>> 1 `.parquet` files exist: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213e2a3d37/vizgen_cellbound/cell_boundaries.parquet >>> using -> /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213e2a3d37/vizgen_cellbound/cell_boundaries.parquet >>> Cell segmentations are found in `.parquet` file >>> Removing 35 cells with area < 15 μm² >>> Checking polygon validity see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221a073a98/vizgen_cellbound see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62211076491f/vizgen_cellbound >>> 1 `.parquet` files exist: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62211076491f/vizgen_cellbound/cell_boundaries.parquet >>> using -> /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62211076491f/vizgen_cellbound/cell_boundaries.parquet >>> Cell segmentations are found in `.parquet` file Sanity checks on cell segmentation polygons: >>> ..found 3 cells with (nested) polygon lists >>> ..applying filtering >>> Casting MULTIPOLYGON geometry to POLYGON >>> Checking polygon validity see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213fa0025a/vizgen_cellbound >>> 1 `.parquet` files exist: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213fa0025a/vizgen_cellbound/cell_boundaries.parquet >>> using -> /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213fa0025a/vizgen_cellbound/cell_boundaries.parquet >>> Cell segmentations are found in `.parquet` file see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62212e0f3f6c/vizgen_cellbound >>> 1 `.parquet` files exist: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62212e0f3f6c/vizgen_cellbound/cell_boundaries.parquet >>> using -> /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62212e0f3f6c/vizgen_cellbound/cell_boundaries.parquet >>> Cell segmentations are found in `.parquet` file >>> Removing 35 cells with area < 15 μm² >>> Checking polygon validity see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221364a6668/vizgen_cellbound_Cellpose >>> 1 `.parquet` files exist: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221364a6668/vizgen_cellbound_Cellpose/Cellpose/cellpose_micron_space.parquet >>> using -> /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221364a6668/vizgen_cellbound_Cellpose/Cellpose/cellpose_micron_space.parquet >>> Cell segmentations are found in `.parquet` file Sanity checks on cell segmentation polygons: >>> ..found 1 cells with (nested) polygon lists >>> ..applying filtering >>> Casting MULTIPOLYGON geometry to POLYGON >>> Checking polygon validity see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622160acbb0c/vizgen_cellbound >>> 1 `.parquet` files exist: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62216c2c4269/cell_boundaries.parquet >>> using -> /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62216c2c4269/cell_boundaries.parquet >>> Cell segmentations are found in `.parquet` file >>> Removing 34 cells with area < 15 μm² >>> Checking polygon validity see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622165ad4fa0/vizgen_cellbound >>> 1 `.parquet` files exist: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622165ad4fa0/vizgen_cellbound/cell_boundaries.parquet >>> using -> /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622165ad4fa0/vizgen_cellbound/cell_boundaries.parquet >>> Cell segmentations are found in `.parquet` file >>> Removing 35 cells with area < 15 μm² >>> Checking polygon validity see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213f4e78f8/vizgen_cellbound >>> 2 `.parquet` files exist: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213f4e78f8/vizgen_cellbound/cell_boundaries.parquet /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213f4e78f8/vizgen_cellbound/cool_cell_boundaries.parquet see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221a073a98/vizgen_cellbound_Cellpose see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221126a3294/cosmx >>> Constructing cell polygons >>> Removing 0 cells with area < 15 μm² >>> Checking polygon validity >>> File cell_boundaries_sf.parquet found >>> Checking polygon validity see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221456bf4d5/cosmx >>> Constructing cell polygons >>> Removing 0 cells with area < 15 μm² >>> Checking polygon validity >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk >>> File cell_boundaries_sf.parquet found >>> Checking polygon validity >>> Reading transcript coordinates see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62217f04a94c/cosmx >>> Constructing cell polygons >>> Removing 0 cells with area < 15 μm² >>> Checking polygon validity >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk | | | 0% | |=================================== | 50% | |======================================================================| 100% >>> File cell_boundaries_sf.parquet found >>> Checking polygon validity >>> Reading transcript coordinates >>> File cell_boundaries_sf.parquet found >>> Checking polygon validity >>> Reading transcript coordinates see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62214510ceb8/cosmx >>> Constructing cell polygons >>> Removing 0 cells with area < 15 μm² >>> Checking polygon validity >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622113049d9c/cosmx >>> Constructing cell polygons >>> Removing 0 cells with area < 15 μm² >>> Checking polygon validity >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk | | | 0% | |========= | 12% | |================== | 25% | |========================== | 38% | |=================================== | 50% | |============================================ | 62% | |==================================================== | 75% | |============================================================= | 88% | |======================================================================| 100% >>> File cell_boundaries_sf.parquet found >>> Checking polygon validity >>> Reading transcript coordinates >>> File cell_boundaries_sf.parquet found >>> Checking polygon validity >>> Reading transcript coordinates see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62217705546c/xenium_lr >>> Must use gene symbols as row names when adding transcript spots. >>> Cell segmentations are found in `.csv` file(s) >>> Reading cell and nucleus segmentations >>> Making POLYGON geometries >>> Removing 14 cells with area < 15 μm² >>> Removing 3647 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.csv` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 16310 cells with counts > 0 >>> filtering nucSeg geometries to match 12677 cells with counts > 0 >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk >>> Total of 484 features/genes with no transcript detected or `min_phred` < 20 are removed from SFE object >>> To keep all features -> set `min_phred = NULL` see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622120d2100d/xenium_lr >>> Must use gene symbols as row names when adding transcript spots. >>> Cell segmentations are found in `.csv` file(s) >>> Reading cell and nucleus segmentations >>> Making POLYGON geometries >>> Removing 14 cells with area < 15 μm² >>> Removing 3647 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.csv` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 16310 cells with counts > 0 >>> filtering nucSeg geometries to match 12677 cells with counts > 0 >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk >>> Total of 484 features/genes with no transcript detected or `min_phred` < 20 are removed from SFE object >>> To keep all features -> set `min_phred = NULL` see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622171b00eaa/xenium_lr >>> Cell segmentations are found in `.parquet` file(s) >>> Reading cell and nucleus segmentations >>> Converting columns with raw bytes (ie 'arrow_binary') to character >>> Making POLYGON geometries >>> Removing 0 cells with area < 15 μm² >>> Removing 45 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.csv` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 163 cells with counts > 0 >>> filtering nucSeg geometries to match 118 cells with counts > 0 see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file6221685d548e/xenium_lr >>> Cell segmentations are found in `.csv` file(s) >>> Reading nucleus segmentations >>> Making POLYGON geometries >>> Removing 3647 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.csv` >>> Reading h5 gene count matrix >>> filtering nucSeg geometries to match 12677 cells with counts > 0 >>> Making POLYGON geometries >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.csv` >>> Reading h5 gene count matrix see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62217e062666/xenium_lr >>> Cell segmentations are found in `.csv` file(s) >>> Reading cell and nucleus segmentations >>> Making POLYGON geometries >>> Removing 14 cells with area < 15 μm² >>> Removing 3647 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.csv` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 16310 cells with counts > 0 >>> filtering nucSeg geometries to match 12677 cells with counts > 0 >>> Preprocessed sf segmentations found >>> Reading cell and nucleus segmentations >>> Reading cell metadata -> `cells.csv` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 16310 cells with counts > 0 >>> filtering nucSeg geometries to match 12677 cells with counts > 0 see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62215663b332/xenium_lr >>> Must use gene symbols as row names when adding transcript spots. >>> Cell segmentations are found in `.csv` file(s) >>> Reading cell and nucleus segmentations >>> Making POLYGON geometries >>> Removing 14 cells with area < 15 μm² >>> Removing 3647 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.csv` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 16310 cells with counts > 0 >>> filtering nucSeg geometries to match 12677 cells with counts > 0 >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk >>> Total of 484 features/genes with no transcript detected or `min_phred` < 20 are removed from SFE object >>> To keep all features -> set `min_phred = NULL` see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62216c63f616/xenium2 >>> Must use gene symbols as row names when adding transcript spots. >>> Cell segmentations are found in `.parquet` file(s) >>> Reading cell and nucleus segmentations >>> Making MULTIPOLYGON nuclei geometries >>> Making POLYGON cell geometries >>> Removing 446 cells with area < 15 μm² Sanity checks on cell segmentation polygons: >>> ..found 132 cells with (nested) polygon lists >>> ..applying filtering >>> Removing 2477 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.parquet` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 5826 cells with counts > 0 >>> filtering nucSeg geometries to match 3681 cells with counts > 0 >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk >>> Total of 116 features/genes with no transcript detected or `min_phred` < 20 are removed from SFE object >>> To keep all features -> set `min_phred = NULL` Actual mean 0.5660077see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62215cee4b86/xenium2 >>> Cell segmentations are found in `.parquet` file(s) >>> Reading cell and nucleus segmentations >>> Making MULTIPOLYGON nuclei geometries >>> Making POLYGON cell geometries >>> Removing 446 cells with area < 15 μm² Sanity checks on cell segmentation polygons: >>> ..found 132 cells with (nested) polygon lists >>> ..applying filtering >>> Removing 2477 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.parquet` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 5826 cells with counts > 0 >>> filtering nucSeg geometries to match 3681 cells with counts > 0 see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622138f1419e/xenium2 >>> Must use gene symbols as row names when adding transcript spots. >>> Making MULTIPOLYGON nuclei geometries >>> Making POLYGON cell geometries >>> Removing 446 cells with area < 15 μm² Sanity checks on cell segmentation polygons: >>> ..found 132 cells with (nested) polygon lists >>> ..applying filtering >>> Removing 2477 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.csv` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 5826 cells with counts > 0 >>> filtering nucSeg geometries to match 3681 cells with counts > 0 >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk >>> Total of 116 features/genes with no transcript detected or `min_phred` < 20 are removed from SFE object >>> To keep all features -> set `min_phred = NULL` Actual mean 0.5660077see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62218ad8fd1/xenium2 >>> Must use gene symbols as row names when adding transcript spots. >>> Cell segmentations are found in `.parquet` file(s) >>> Reading cell and nucleus segmentations >>> Making MULTIPOLYGON nuclei geometries >>> Making POLYGON cell geometries >>> Removing 446 cells with area < 15 μm² Sanity checks on cell segmentation polygons: >>> ..found 132 cells with (nested) polygon lists >>> ..applying filtering >>> Removing 2477 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.parquet` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 5826 cells with counts > 0 >>> filtering nucSeg geometries to match 3681 cells with counts > 0 >>> Reading transcript coordinates >>> Converting transcript spots to geometry >>> Writing reformatted transcript spots to disk >>> Total of 116 features/genes with no transcript detected or `min_phred` < 20 are removed from SFE object >>> To keep all features -> set `min_phred = NULL` >>> Preprocessed sf segmentations found >>> Reading cell and nucleus segmentations >>> Reading cell metadata -> `cells.parquet` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 5826 cells with counts > 0 >>> filtering nucSeg geometries to match 3681 cells with counts > 0 Actual mean 0.5660077>>> 10X Visium data will be loaded: outs >>> Adding spatial neighborhood graph to sample01 >>> 10X Visium data will be loaded: outs >>> Adding spatial neighborhood graph to sample02 see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file622151da96ff/xenium2 >>> Cell segmentations are found in `.parquet` file(s) >>> Reading cell and nucleus segmentations >>> Making MULTIPOLYGON nuclei geometries >>> Making POLYGON cell geometries >>> Removing 446 cells with area < 15 μm² Sanity checks on cell segmentation polygons: >>> ..found 132 cells with (nested) polygon lists >>> ..applying filtering >>> Removing 2477 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.parquet` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 5826 cells with counts > 0 >>> filtering nucSeg geometries to match 3681 cells with counts > 0 >>> Preprocessed sf segmentations found >>> Reading cell and nucleus segmentations >>> Reading cell metadata -> `cells.parquet` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 5826 cells with counts > 0 >>> filtering nucSeg geometries to match 3681 cells with counts > 0 >>> 10X Visium data will be loaded: outs >>> Converting pixels to microns >>> Adding spatial neighborhood graph to ob >>> 10X Visium data will be loaded: outs >>> Converting pixels to microns >>> Adding spatial neighborhood graph to kidney [updateObject] DFrame object is current. [updateObject] Nothing to update. updateObject(object="ANY") default for object of class 'NULL' [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK [updateObject] DFrame object is current. [updateObject] Nothing to update. updateObject(object="ANY") default for object of class 'NULL' [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK updateObject(object="ANY") default for object of class 'dgCMatrix' updateObjectFromSlots(object = 'dgCMatrix' class = 'dgCMatrix') updateObject(object="ANY") default for object of class 'integer' [updateObject] Validating the updated object ... OK updateObject(object="ANY") default for object of class 'integer' [updateObject] Validating the updated object ... OK updateObject(object="ANY") default for object of class 'integer' [updateObject] Validating the updated object ... OK updateObject(object = 'list') updateObject(object="ANY") default for object of class 'character' [updateObject] Validating the updated object ... OK updateObject(object="ANY") default for object of class 'character' [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK updateObject(object="ANY") default for object of class 'numeric' [updateObject] Validating the updated object ... OK updateObject(object = 'list') [updateObject] Validating the updated object ... OK heuristic updateObjectFromSlots, method 1 [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK [updateObject] DFrame object is current. [updateObject] Nothing to update. updateObject(object="ANY") default for object of class 'NULL' [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK [updateObject] DFrame object is current. [updateObject] Nothing to update. updateObject(object="ANY") default for object of class 'NULL' [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK [updateObject] CompressedGRangesList object is current. [updateObject] Nothing to update. [updateObject] Internal representation of GRanges object is current. [updateObject] Nothing to update. [updateObject] Internal representation of IRanges object is current. [updateObject] Nothing to update. updateObject(object="ANY") default for object of class 'NULL' [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK [updateObject] DFrame object is current. [updateObject] Nothing to update. updateObject(object="ANY") default for object of class 'NULL' [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK [updateObject] Internal representation of GRanges object is current. [updateObject] Nothing to update. [updateObject] Internal representation of IRanges object is current. [updateObject] Nothing to update. updateObject(object="ANY") default for object of class 'NULL' [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK [updateObject] DFrame object is current. [updateObject] Nothing to update. updateObject(object="ANY") default for object of class 'NULL' [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK [updateObject] Internal representation of PartitioningByEnd object is current. [updateObject] Nothing to update. updateObject(object="ANY") default for object of class 'NULL' [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK [updateObject] DFrame object is current. [updateObject] Nothing to update. updateObject(object="ANY") default for object of class 'NULL' [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK [updateObject] Validating the updated object ... OK see ?SFEData and browseVignettes('SFEData') for documentation loading from cache see ?SFEData and browseVignettes('SFEData') for documentation loading from cache The downloaded files are in /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/RtmpKm22Nu/file62213742cf94/xenium_lr >>> Cell segmentations are found in `.csv` file(s) >>> Reading cell and nucleus segmentations >>> Making POLYGON geometries >>> Removing 14 cells with area < 15 μm² >>> Removing 3647 cells with area < 15 μm² >>> Checking polygon validity >>> Saving geometries to parquet files >>> Reading cell metadata -> `cells.csv` >>> Reading h5 gene count matrix >>> filtering cellSeg geometries to match 16310 cells with counts > 0 >>> filtering nucSeg geometries to match 12677 cells with counts > 0 [ FAIL 21 | WARN 0 | SKIP 10 | PASS 1180 ] ══ Skipped tests (10) ══════════════════════════════════════════════════════════ • On Bioconductor (1): 'test-read.R:686:5' • Skipping (6): 'test-graph_wrappers.R:160:5', 'test-read.R:144:5', 'test-read.R:158:5', 'test-read.R:168:5', 'test-read.R:175:5', 'test-read.R:187:5' • gdalParquetAvailable() is not TRUE (3): 'test-formatTxSpots.R:113:5', 'test-formatTxSpots.R:140:5', 'test-formatTxSpots.R:157:5' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-coerce.R:29:5'): Convert SPE and SCE to SFE, no images ─────── st_geometry(centroids(sfe1)) (`actual`) not equal to `centroids_check` (`expected`). `attr(actual, 'bbox')`: "((19828,3932),(20409,4942))" `attr(expected, 'bbox')`: "((19828,-3916.976),(20409,-2906.976))" `actual[[1]]`: "POINT (19828 3932)" `expected[[1]]`: "POINT (19828 -2906.976)" `actual[[2]]`: "POINT (20118 3932)" `expected[[2]]`: "POINT (20118 -2906.976)" `actual[[3]]`: "POINT (20409 3932)" `expected[[3]]`: "POINT (20409 -2906.976)" `actual[[4]]`: "POINT (19828 4437)" `expected[[4]]`: "POINT (19828 -3411.976)" `actual[[5]]`: "POINT (19973 4185)" `expected[[5]]`: "POINT (19973 -3159.976)" `actual[[6]]`: "POINT (20119 4437)" `expected[[6]]`: "POINT (20119 -3411.976)" `actual[[7]]`: "POINT (20409 4437)" `expected[[7]]`: "POINT (20409 -3411.976)" `actual[[8]]`: "POINT (19829 4942)" `expected[[8]]`: "POINT (19829 -3916.976)" `actual[[9]]`: "POINT (19974 4690)" `expected[[9]]`: "POINT (19974 -3664.976)" `actual[[10]]`: "POINT (20119 4942)" `expected[[10]]`: "POINT (20119 -3916.976)" `actual[[11]]`: "POINT (20264 4690)" `expected[[11]]`: "POINT (20264 -3664.976)" `actual[[12]]`: "POINT (20409 4942)" `expected[[12]]`: "POINT (20409 -3916.976)" ── Failure ('test-coerce.R:30:5'): Convert SPE and SCE to SFE, no images ─────── spatialCoords(sfe1) (`actual`) not equal to spatialCoords(sfe) (`expected`). actual vs expected [,1] [,2] - actual[1, ] 19828 3932.000 + expected[1, ] 19828 -2906.976 - actual[2, ] 20118 3932.000 + expected[2, ] 20118 -2906.976 - actual[3, ] 20409 3932.000 + expected[3, ] 20409 -2906.976 - actual[4, ] 19828 4437.000 + expected[4, ] 19828 -3411.976 - actual[5, ] 19973 4185.000 + expected[5, ] 19973 -3159.976 - actual[6, ] 20119 4437.000 + expected[6, ] 20119 -3411.976 - actual[7, ] 20409 4437.000 + expected[7, ] 20409 -3411.976 - actual[8, ] 19829 4942.000 + expected[8, ] 19829 -3916.976 - actual[9, ] 19974 4690.000 + expected[9, ] 19974 -3664.976 - actual[10, ] 20119 4942.000 + expected[10, ] 20119 -3916.976 and 2 more ... ── Failure ('test-geometry_operation.R:881:5'): Transpose SFE object with BioFormatsImage ── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-geometry_operation.R:905:5'): Mirror SFE object with BFI, vertical ── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-geometry_operation.R:929:5'): Mirror SFE object with BFI, horizontal ── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-geometry_operation.R:953:5'): Rotate SFE object with BFI ───── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-geometry_operation.R:970:5'): Scale SFE object with BFI ────── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-geometry_operation.R:996:5'): General affine transformation of SFE object with BFI ── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-geometry_operation.R:1019:5'): Transpose SFE object with ExtImage ── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-geometry_operation.R:1043:5'): Mirror SFE object with ExtImage, vertical ── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-geometry_operation.R:1066:5'): Mirror SFE object with ExtImage, horizontal ── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-geometry_operation.R:1089:5'): Rotate SFE object with ExtImage ── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-geometry_operation.R:1105:5'): Scale SFE object with ExtImage ── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-geometry_operation.R:1130:5'): General affine transformation of SFE object with ExtImage ── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-image.R:200:5'): mirrorImg, SpatRasterImage method ─────────── imgRaster(img_m2)[4, 3, 2][[1]] (`actual`) not equal to 190 (`expected`). `actual`: 43 `expected`: 190 ── Failure ('test-image.R:254:5'): affineImg, SpatRasterImage method, EBI behind the scene ── as.numeric(imgRaster(ebi)[6, 3, 2]) (`actual`) not equal to 191 (`expected`). `actual`: 63 `expected`: 191 ── Failure ('test-read.R:631:5'): readXenium, XOA v1 ─────────────────────────── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-read.R:712:5'): readXenium XOA v1 flip image ───────────────── mean(v$lyr.1, na.rm = TRUE) > 0.9 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-read.R:743:5'): readXenium XOA v2, normal stuff ────────────── mean(v$lyr.1, na.rm = TRUE) > 0.89 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-read.R:784:5'): readXenium XOA v2, use csv files ───────────── mean(v$lyr.1, na.rm = TRUE) > 0.89 is not TRUE `actual`: FALSE `expected`: TRUE ── Failure ('test-read.R:805:5'): readXenium, flip image ─────────────────────── mean(v$lyr.1, na.rm = TRUE) > 0.89 is not TRUE `actual`: FALSE `expected`: TRUE [ FAIL 21 | WARN 0 | SKIP 10 | PASS 1180 ] Error: Test failures Execution halted
SpatialFeatureExperiment.Rcheck/SpatialFeatureExperiment-Ex.timings
name | user | system | elapsed | |
Img-set-SpatialExperiment-method | 5.482 | 0.528 | 5.666 | |
SFE-image | 0.537 | 0.039 | 0.764 | |
SFE-transform | 0.925 | 0.061 | 1.137 | |
SpatRasterImage | 0 | 0 | 0 | |
SpatialFeatureExperiment-coercion | 0.731 | 0.014 | 0.746 | |
SpatialFeatureExperiment-subset | 0.666 | 0.042 | 0.851 | |
SpatialFeatureExperiment | 0.185 | 0.003 | 0.189 | |
addVisiumSpotPoly | 0.719 | 0.014 | 0.732 | |
aggBboxes | 0.001 | 0.000 | 0.000 | |
aggregate-SpatialFeatureExperiment-method | 0 | 0 | 0 | |
annotGeometries | 0.545 | 0.040 | 0.732 | |
annotOp | 0.649 | 0.043 | 0.838 | |
annotPred | 0.613 | 0.040 | 0.797 | |
annotSummary | 1.015 | 0.054 | 1.215 | |
bbox-SpatialFeatureExperiment-method | 0.616 | 0.045 | 0.807 | |
bbox_center | 0 | 0 | 0 | |
cbind-SpatialFeatureExperiment-method | 1.512 | 0.092 | 1.963 | |
changeSampleIDs | 0.621 | 0.042 | 0.805 | |
colFeatureData | 0.966 | 0.069 | 1.184 | |
colGeometries | 0.600 | 0.041 | 0.781 | |
crop | 0.957 | 0.053 | 1.152 | |
df2sf | 0.003 | 0.001 | 0.005 | |
dimGeometries | 1.828 | 0.088 | 2.204 | |
findSpatialNeighbors-SpatialFeatureExperiment-method | 1.578 | 0.088 | 1.960 | |
findVisiumGraph | 1.484 | 0.093 | 1.867 | |
formatTxSpots | 4.844 | 0.357 | 5.484 | |
formatTxTech | 1.105 | 0.104 | 1.345 | |
gdalParquetAvailable | 0.000 | 0.000 | 0.001 | |
getParams | 0.915 | 0.089 | 1.146 | |
getPixelSize | 1.421 | 0.112 | 1.487 | |
imageIDs | 0.230 | 0.016 | 0.237 | |
listw2sparse | 0.656 | 0.053 | 0.860 | |
localResults | 0.372 | 0.005 | 0.379 | |
multi_listw2sparse | 0.000 | 0.001 | 0.000 | |
read10xVisiumSFE | 0.584 | 0.008 | 0.592 | |
readCosMX | 0.828 | 0.052 | 1.058 | |
readSelectTx | 0.006 | 0.000 | 0.006 | |
readVizgen | 1.040 | 0.069 | 1.270 | |
readXenium | 3.467 | 0.252 | 3.858 | |
removeEmptySpace | 2.702 | 0.109 | 2.984 | |
rowGeometries | 2.938 | 0.184 | 3.251 | |
sampleIDs | 0.600 | 0.055 | 0.836 | |
saveRDS-SpatialFeatureExperiment-method | 0.624 | 0.012 | 0.637 | |
show-SpatialFeatureExperiment-method | 0.607 | 0.062 | 0.846 | |
spatialGraphs | 1.724 | 0.120 | 2.141 | |
splitByCol | 0 | 0 | 0 | |
st_any_pred | 0.008 | 0.001 | 0.009 | |
unit-SpatialFeatureExperiment-method | 0.632 | 0.048 | 0.826 | |
updateObject | 0.632 | 0.040 | 0.867 | |