Bioconductor release scheduled for October 29

scLANE

This is the development version of scLANE; to use it, please install the devel version of Bioconductor.

Model Gene Expression Dynamics with Spline-Based NB GLMs, GEEs, & GLMMs


Bioconductor version: Development (3.22)

Our scLANE model uses truncated power basis spline models to build flexible, interpretable models of single cell gene expression over pseudotime or latent time. The modeling architectures currently supported are Negative-binomial GLMs, GEEs, & GLMMs. Downstream analysis functionalities include model comparison, dynamic gene clustering, smoothed counts generation, gene set enrichment testing, & visualization.

Author: Jack R. Leary [aut, cre] ORCID iD ORCID: 0009-0004-8821-3269 , Rhonda Bacher [ctb, fnd] ORCID iD ORCID: 0000-0001-5787-476X

Maintainer: Jack R. Leary <j.leary at ufl.edu>

Citation (from within R, enter citation("scLANE")):

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("scLANE")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Clustering, DifferentialExpression, GeneExpression, GeneSetEnrichment, RNASeq, Regression, Sequencing, SingleCell, Software, TimeCourse, Transcriptomics, Visualization
Version 0.99.999999
In Bioconductor since BioC 3.22 (R-4.5)
License MIT + file LICENSE
Depends glm2, magrittr, R (>= 4.5.0)
Imports geeM, MASS, mpath, dplyr, stats, utils, withr, purrr, tidyr, furrr, doSNOW, gamlss, scales, future, Matrix, ggplot2, splines, foreach, glmmTMB, parallel, RcppEigen, bigstatsr, tidyselect, broom.mixed, Rcpp
System Requirements
URL https://github.com/jr-leary7/scLANE
Bug Reports https://github.com/jr-leary7/scLANE/issues
See More
Suggests covr, grid, coop, uwot, scran, ggh4x, knitr, UCell, irlba, rlang, igraph, scater, gtable, ggpubr, viridis, bluster, cluster, circlize, speedglm, rmarkdown, gridExtra, BiocStyle, slingshot, gprofiler2, GenomeInfoDb, BiocParallel, BiocGenerics, BiocNeighbors, ComplexHeatmap, Seurat (>= 5.0.0), testthat (>= 3.0.0), SingleCellExperiment, SummarizedExperiment
Linking To Rcpp, RcppEigen
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64) scLANE_0.99.999999.tgz
macOS Binary (arm64) scLANE_0.99.999999.tgz
Source Repository git clone https://git.bioconductor.org/packages/scLANE
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/scLANE
Bioc Package Browser https://code.bioconductor.org/browse/scLANE/
Package Short Url https://bioconductor.org/packages/scLANE/
Package Downloads Report Download Stats