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), <>, and results in a distribution for the counts that is a superposition of the binomial and negative binomial distribution.

Version: 0.1.1
Imports: methods, stats, utils
Suggests: knitr, rmarkdown
Published: 2018-01-31
DOI: 10.32614/CRAN.package.denoiSeq
Author: Gershom Buri [aut, cre], Wilfred Ndifon [aut]
Maintainer: Gershom Buri <buri at>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: denoiSeq results


Reference manual: denoiSeq.pdf
Vignettes: denoiSeq


Package source: denoiSeq_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): denoiSeq_0.1.1.tgz, r-oldrel (arm64): denoiSeq_0.1.1.tgz, r-release (x86_64): denoiSeq_0.1.1.tgz, r-oldrel (x86_64): denoiSeq_0.1.1.tgz
Old sources: denoiSeq archive


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