tcgsaseq: Time-Course Gene Set Analysis for RNA-Seq Data

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 D, Hejblum BP (2017) Variance component score test for time-course gene set analysis of longitudinal RNA-seq data, Biostatistics <arXiv:1605.02351>.

Version: 1.6.2
Depends: R (≥ 3.0.2)
Imports: CompQuadForm, ggplot2, GSA, KernSmooth, stats, utils
Suggests: limma, edgeR, DESeq2, S4Vectors, knitr, rmarkdown
Published: 2017-08-04
Author: Denis Agniel [aut], Boris P. Hejblum [aut, cre]
Maintainer: Boris P. Hejblum <boris.hejblum at>
License: GPL-2 | file LICENSE
NeedsCompilation: no
Citation: tcgsaseq citation info
Materials: README NEWS
CRAN checks: tcgsaseq results


Reference manual: tcgsaseq.pdf
Package source: tcgsaseq_1.6.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: tcgsaseq_1.6.2.tgz
OS X Mavericks binaries: r-oldrel: tcgsaseq_1.6.2.tgz
Old sources: tcgsaseq archive

Reverse dependencies:

Reverse suggests: TcGSA


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