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 |
| 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 |
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