QuasiSeq: Analyzing RNA Sequencing Count Tables Using Quasi-Likelihood

Identify differentially expressed genes in RNA-seq count data using quasi-Poisson or quasi-negative binomial models with 'QL', 'QLShrink' and 'QLSpline' methods described by Lund, Nettleton, McCarthy, and Smyth (2012) <doi:10.1515/1544-6115.1826>. Report bias-reduced estimates of log fold changes.

Version: 1.0-10-2
Depends: R (≥ 3.5.0)
Imports: edgeR, mgcv, pracma, utils, grDevices, graphics
Suggests: BB, nleqslv
Enhances: stats
Published: 2018-05-10
Author: Steve Lund [aut, cre], Long Qu [aut, ctb], Klirk Bhasavanich [aut], Ian Marschner [aut] (The author of glm2::glm.fit2, which was modified slightly leading to glm.fit3 in this package.), R Core Team [aut] (The author of stats::glm.fit, which was modified slightly leading to glm.fit3 in this package.)
Maintainer: Steve Lund <lundsp at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: QuasiSeq results

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Reference manual: QuasiSeq.pdf
Package source: QuasiSeq_1.0-10-2.tar.gz
Windows binaries: r-devel: QuasiSeq_1.0-10-2.zip, r-release: QuasiSeq_1.0-10-2.zip, r-oldrel: QuasiSeq_1.0-10-2.zip
OS X binaries: r-release: QuasiSeq_1.0-10-2.tgz, r-oldrel: QuasiSeq_1.0-10-2.tgz
Old sources: QuasiSeq archive

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