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:	0.1.1
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 aims.edu.gh>
License:	GPL-2
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	denoiSeq results

Documentation:

Reference manual:	denoiSeq.pdf
Vignettes:	denoiSeq

Downloads:

Package source:	denoiSeq_0.1.1.tar.gz
Windows binaries:	r-devel: denoiSeq_0.1.1.zip, r-release: denoiSeq_0.1.1.zip, r-oldrel: denoiSeq_0.1.1.zip
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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