recipe bioconductor-ihw

Independent Hypothesis Weighting







biotools: IHW, doi: 10.1038/nmeth.3885

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.

package bioconductor-ihw

(downloads) docker_bioconductor-ihw



depends bioconductor-biocgenerics:


depends bioconductor-lpsymphony:


depends r-base:


depends r-fdrtool:

depends r-slam:



You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-ihw

and update with::

   mamba update bioconductor-ihw

To create a new environment, run:

mamba create --name myenvname bioconductor-ihw

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

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

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