nignatiadis/IHW: Independent Hypothesis Weighting

Independent hypothesis weighting (IHW) is a multiple testing procedure that increases power compared to the method of Benjamini and Hochberg by assigning data-driven weights to each hypothesis. The input to IHW is a two-column table of p-values and covariates. The covariate can be any continuous-valued or categorical variable that is thought to be informative on the statistical properties of each hypothesis test, while it is independent of the p-value under the null hypothesis.

Getting started

Package details

Bioconductor views MultipleComparison RNASeq
Maintainer
LicenseArtistic-2.0
Version1.7.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("nignatiadis/IHW")
nignatiadis/IHW documentation built on April 4, 2018, 10:25 a.m.