recipe bioconductor-generecommender

A gene recommender algorithm to identify genes coexpressed with a query set of genes



GPL (>= 2)




biotools: generecommender, doi: 10.1101/gr.1125403

This package contains a targeted clustering algorithm for the analysis of microarray data. The algorithm can aid in the discovery of new genes with similar functions to a given list of genes already known to have closely related functions.

package bioconductor-generecommender

(downloads) docker_bioconductor-generecommender



depends bioconductor-biobase:


depends r-base:




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-generecommender

and update with::

   mamba update bioconductor-generecommender

To create a new environment, run:

mamba create --name myenvname bioconductor-generecommender

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

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