empiricalFDR.DESeq2: Simulation-Based False Discovery Rate in RNA-Seq

Auxiliary functions for the DESeq2 package to simulate read counts according to the null hypothesis (i.e., with empirical sample size factors, per-gene total counts and dispersions, but without effects of predictor variables) and to compute the empirical false discovery rate.

Version: 1.0.3
Depends: DESeq2, GenomicRanges
Published: 2015-05-27
Author: Mikhail V. Matz
Maintainer: Mikhail V. Matz <matz at utexas.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: empiricalFDR.DESeq2 results


Reference manual: empiricalFDR.DESeq2.pdf
Package source: empiricalFDR.DESeq2_1.0.3.tar.gz
Windows binaries: r-devel: empiricalFDR.DESeq2_1.0.3.zip, r-release: empiricalFDR.DESeq2_1.0.3.zip, r-oldrel: empiricalFDR.DESeq2_1.0.3.zip
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: empiricalFDR.DESeq2_1.0.3.tgz
Old sources: empiricalFDR.DESeq2 archive


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