TcGSA: Time-Course Gene Set Analysis

Implementation of Time-course Gene Set Analysis (TcGSA), a method for analyzing longitudinal gene-expression data at the gene set level. Method is detailed in: Hejblum, Skinner & Thiebaut (2015) <doi:10.1371/journal.pcbi.1004310>.

Version: 0.12.10
Depends: R (≥ 3.0.2), ggplot2 (≥ 2.0.0)
Imports: lme4 (≥ 1.0-4), reshape2, GSA, multtest, cluster, cowplot, graphics, grDevices, gtools, stringr, splines, stats, utils
Suggests: BiocManager, foreach, parallel, doParallel, dearseq, knitr, GEOquery, rmarkdown
Published: 2022-02-28
Author: Boris P Hejblum [aut, cre], Damien Chimits [aut], Anthony Devaux [aut]
Maintainer: Boris P Hejblum <boris.hejblum at>
License: GPL-2 | file LICENSE
NeedsCompilation: no
Citation: TcGSA citation info
Materials: README NEWS
In views: Omics
CRAN checks: TcGSA results


Reference manual: TcGSA.pdf
Vignettes: TcGSA_userguide


Package source: TcGSA_0.12.10.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): TcGSA_0.12.10.tgz, r-oldrel (arm64): TcGSA_0.12.10.tgz, r-release (x86_64): TcGSA_0.12.10.tgz, r-oldrel (x86_64): TcGSA_0.12.10.tgz
Old sources: TcGSA archive


Please use the canonical form to link to this page.