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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.html ,denoiSeq.pdf
Vignettes:denoiSeq (source,R code)

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=denoiSeqto link to this page.


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