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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | denoiSeq_0.1.1.tar.gz |
205.7 KiB |
0.1.1 |
rolling linux/noble R-4.5 | denoiSeq_0.1.1.tar.gz |
205.2 KiB |
0.1.1 |
rolling source/ R- | denoiSeq_0.1.1.tar.gz |
83.4 KiB |
0.1.1 |
latest linux/jammy R-4.5 | denoiSeq_0.1.1.tar.gz |
205.7 KiB |
0.1.1 |
latest linux/noble R-4.5 | denoiSeq_0.1.1.tar.gz |
205.2 KiB |
0.1.1 |
latest source/ R- | denoiSeq_0.1.1.tar.gz |
83.4 KiB |
0.1.1 |
2026-04-26 source/ R- | denoiSeq_0.1.1.tar.gz |
83.4 KiB |
0.1.1 |
2026-04-23 source/ R- | denoiSeq_0.1.1.tar.gz |
83.4 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | denoiSeq_0.1.1.zip |
209.0 KiB |
0.1.1 |
2025-04-20 source/ R- | denoiSeq_0.1.1.tar.gz |
83.4 KiB |