QuasiSeq (1.0-10-2)

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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) . Report bias-reduced estimates of log fold changes.

Maintainer: Steve Lund
Author(s): 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.)

License: GPL (>= 2)

Uses: mgcv, pracma, BB, nleqslv

Released over 1 year ago.

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