recipe bioconductor-genetclassifier

Classify diseases and build associated gene networks using gene expression profiles



GPL (>= 2)




biotools: genetclassifier

Comprehensive package to automatically train and validate a multi-class SVM classifier based on gene expression data. Provides transparent selection of gene markers, their coexpression networks, and an interface to query the classifier.

package bioconductor-genetclassifier

(downloads) docker_bioconductor-genetclassifier



depends bioconductor-biobase:


depends bioconductor-ebarrays:


depends bioconductor-minet:


depends r-base:


depends r-e1071:



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-genetclassifier

and update with::

   mamba update bioconductor-genetclassifier

To create a new environment, run:

mamba create --name myenvname bioconductor-genetclassifier

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

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