recipe bioconductor-ihw

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.

Links:biotools: IHW, doi: 10.1038/nmeth.3885
package bioconductor-ihw

(downloads) docker_bioconductor-ihw


1.10.0-0, 1.8.0-0, 1.6.0-0, 1.4.0-0, 1.2.0-0

Required By:


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

conda install bioconductor-ihw

and update with:

conda update bioconductor-ihw

or use the docker container:

docker pull<tag>

(see bioconductor-ihw/tags for valid values for <tag>)