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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
DOI: 10.32614/CRAN.package.TcGSA
Author: Boris P Hejblum [aut, cre], Damien Chimits [aut], Anthony Devaux [aut]
Maintainer: Boris P Hejblum <boris.hejblum at u-bordeaux.fr>
BugReports: https://github.com/sistm/TcGSA/issues
License: GPL-2 | file LICENSE
URL: http://sistm.github.io/TcGSA/
NeedsCompilation: no
Citation: TcGSA citation info
Materials: README NEWS
In views: Omics
CRAN checks: TcGSA results

Documentation:

Reference manual: TcGSA.pdf
Vignettes: TcGSA_userguide

Downloads:

Package source: TcGSA_0.12.10.tar.gz
Windows binaries: r-devel: TcGSA_0.12.10.zip, r-release: TcGSA_0.12.10.zip, r-oldrel: TcGSA_0.12.10.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=TcGSA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.