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TcGSA: Time-Course Gene Set Analysis (original) (raw)

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

URL:

http://sistm.github.io/TcGSA/

NeedsCompilation:

no

Citation:

TcGSA citation info

Materials:

README NEWS

In views:

Omics

CRAN checks:

TcGSA results