recipe bioconductor-hierinf

Hierarchical Inference



GPL-3 | file LICENSE



Tools to perform hierarchical inference for one or multiple studies / data sets based on high-dimensional multivariate (generalised) linear models. A possible application is to perform hierarchical inference for GWA studies to find significant groups or single SNPs (if the signal is strong) in a data-driven and automated procedure. The method is based on an efficient hierarchical multiple testing correction and controls the FWER. The functions can easily be run in parallel.

package bioconductor-hierinf

(downloads) docker_bioconductor-hierinf



depends r-base:


depends r-fmsb:

depends r-glmnet:



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-hierinf

and update with::

   mamba update bioconductor-hierinf

To create a new environment, run:

mamba create --name myenvname bioconductor-hierinf

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-hierinf/tags`_ for valid values for ``<tag>``)

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