<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Time-Course Gene Set Analysis</dc:title>
  <dc:title>R package TcGSA version 0.12.13</dc:title>
  <dc:subject>CRAN Task View: Omics (https://CRAN.R-project.org/view=Omics)</dc:subject>
  <dc:description>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 &amp; Thiebaut (2015) &lt;doi: 10.1371/journal.pcbi.1004310&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.0.2), ggplot2 (&gt;= 2.0.0)</dc:relation>
  <dc:relation>Imports: lme4 (&gt;= 1.0-4), reshape2, GSA, multtest, cluster, cowplot,
graphics, grDevices, gtools, stringr, splines, stats, utils</dc:relation>
  <dc:relation>Suggests: BiocManager, foreach, parallel, doParallel, dearseq, knitr,
GEOquery, rmarkdown</dc:relation>
  <dc:creator>Boris P Hejblum &lt;boris.hejblum@u-bordeaux.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Boris P Hejblum [aut, cre],
  Damien Chimits [aut],
  Anthony Devaux [aut]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:rights>file LICENSE (https://CRAN.R-project.org/package=TcGSA/LICENSE)</dc:rights>
  <dc:date>2025-07-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=TcGSA</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.TcGSA</dc:identifier>
</oai_dc:dc>
