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 |
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 |
macOS 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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