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empiricalFDR.DESeq2 (version 1.0.3)

Simulation-Based False Discovery Rate in RNA-Seq

Description

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.

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Version

Install

install.packages('empiricalFDR.DESeq2')

Monthly Downloads

22

Version

1.0.3

License

GPL-3

Maintainer

Mikhail Matz

Last Published

May 27th, 2015

Functions in empiricalFDR.DESeq2 (1.0.3)

empiricalFDR.DESeq2-package

Simulation-Based False Discovery Rate in RNA-Seq
empiricalFDR

Computing the p-value cutoff to achieve a given FDR.
simulateCounts

Simulating RNA-seq read counts
fdrTable

Computes false discovery rates for a series of p-value cutoffs.
fdrBiCurve

Plots the numbers of null hypothesis rejections