Package: tcgsaseq
Type: Package
Title: Time-Course Gene Set Analysis for RNA-Seq Data
Version: 2.0.5
Date: 2020-09-10
Authors@R: c(person("Denis", "Agniel", role = c("aut"),
                    email = "denis.agniel@gmail.com"),
	           person("Boris P.", "Hejblum", role = c("aut", "cre"),
	                  email = "boris.hejblum@u-bordeaux.fr"),
	           person("Marine", "Gauthier", role = c("aut"),
	                  email = "marine.gauthier@u-bordeaux.fr"))
Depends: R (>= 3.0.2)
Imports: CompQuadForm, ggplot2, graphics, GSA, KernSmooth, parallel,
        pbapply, stats, statmod, utils
Suggests: limma, edgeR, DESeq2, S4Vectors, knitr, rmarkdown, testthat,
        covr
Description: Analyze RNA-seq data with variance component score test accounting 
    for data heteroscedasticity through precision weights. Perform both gene-wise and gene set
    analyses, and can deal with longitudinal data. Method is detailed in: Agniel & Hejblum 
    (2017) <doi: 10.1093/biostatistics/kxx005>, Variance component score test for 
    time-course gene set analysis of longitudinal RNA-seq data, Biostatistics, 18(4):589-604.
LazyData: true
License: GPL-2 | file LICENSE
BugReports: https://github.com/denisagniel/tcgsaseq/issues
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-10 16:13:23 UTC; boris
Author: Denis Agniel [aut],
  Boris P. Hejblum [aut, cre],
  Marine Gauthier [aut]
Maintainer: Boris P. Hejblum <boris.hejblum@u-bordeaux.fr>
Repository: CRAN
Date/Publication: 2020-09-10 16:40:02 UTC
Built: R 3.6.3; ; 2021-05-12 22:26:29 UTC; windows
