timeSeq: Detecting Differentially Expressed Genes in Time Course RNA-Seq Data

Uses a negative binomial mixed-effects (NBME) model to detect nonparallel differential expression(NPDE) genes and parallel differential expression(PDE) genes in the time course RNA-seq data.

Version: 1.0.3
Depends: R (≥ 3.0.1)
Imports: gss, lattice, pheatmap, reshape, grDevices, graphics
Suggests: rmarkdown, knitr
Published: 2017-07-17
Author: Fan Gao, Xiaoxiao Sun
Maintainer: Fan Gao <fangaohz at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: timeSeq results


Reference manual: timeSeq.pdf
Vignettes: Inferring differential expressed genes in time course RNA-Seq data with the timeSeq package
Package source: timeSeq_1.0.3.tar.gz
Windows binaries: r-devel: timeSeq_1.0.3.zip, r-release: timeSeq_1.0.3.zip, r-oldrel: timeSeq_1.0.3.zip
OS X El Capitan binaries: r-release: timeSeq_1.0.3.tgz
OS X Mavericks binaries: r-oldrel: timeSeq_1.0.3.tgz
Old sources: timeSeq archive


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