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.
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-ihw
and update with:
conda update bioconductor-ihw
A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-ihw.