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