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.
|Author||Mikhail V. Matz|
|Date of publication||2015-05-27 08:55:36|
|Maintainer||Mikhail V. Matz <email@example.com>|
empiricalFDR: Computing the p-value cutoff to achieve a given FDR.
empiricalFDR.DESeq2-package: Simulation-Based False Discovery Rate in RNA-Seq
fdrBiCurve: Plots the numbers of null hypothesis rejections
fdrTable: Computes false discovery rates for a series of p-value...
simulateCounts: Simulating RNA-seq read counts