denoiSeq: Differential Expression Analysis Using a Bottom-Up Model

Given count data from two conditions, it determines which transcripts are differentially expressed across the two conditions using Bayesian inference of the parameters of a bottom-up model for PCR amplification. This model is developed in Ndifon Wilfred, Hilah Gal, Eric Shifrut, Rina Aharoni, Nissan Yissachar, Nir Waysbort, Shlomit Reich Zeliger, Ruth Arnon, and Nir Friedman (2012), <http://www.pnas.org/content/109/39/15865.full>, and results in a distribution for the counts that is a superposition of the binomial and negative binomial distribution.

Version: 0.1.0
Imports: methods, stats, utils
Suggests: devtools, knitr, rmarkdown
Published: 2017-07-18
Author: Gershom Buri [aut, cre], Wilfred Ndifon [aut]
Maintainer: Gershom Buri <buri at aims.edu.gh>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: denoiSeq results

Downloads:

Reference manual: denoiSeq.pdf
Vignettes: denoiSeq
Package source: denoiSeq_0.1.0.tar.gz
Windows binaries: r-devel: denoiSeq_0.1.0.zip, r-release: denoiSeq_0.1.0.zip, r-oldrel: denoiSeq_0.1.0.zip
OS X El Capitan binaries: r-release: denoiSeq_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: denoiSeq_0.1.0.tgz

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