bioconductor-ihw

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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.

Home http://bioconductor.org/packages/release/bioc/html/IHW.html
Versions 1.2.0, 1.4.0
License Artistic-2.0
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-ihw

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-ihw

and update with:

conda update bioconductor-ihw

docker

A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-ihw.