Independent hypothesis weighting (IHW) is a multiple testing procedure that increases power compared to the method of Benjamini and Hochberg by assigning datadriven weights to each hypothesis. The input to IHW is a twocolumn table of pvalues and covariates. The covariate can be any continuousvalued or categorical variable that is thought to be informative on the statistical properties of each hypothesis test, while it is independent of the pvalue under the null hypothesis.
Package details 


Bioconductor views  MultipleComparison RNASeq 
Maintainer  
License  Artistic2.0 
Version  1.5.0 
Package repository  View on GitHub 
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