recipe bioconductor-cma

Synthesis of microarray-based classification



GPL (>= 2)




biotools: cma, doi: 10.1186/1471-2105-9-439

This package provides a comprehensive collection of various microarray-based classification algorithms both from Machine Learning and Statistics. Variable Selection, Hyperparameter tuning, Evaluation and Comparison can be performed combined or stepwise in a user-friendly environment.

package bioconductor-cma

(downloads) docker_bioconductor-cma



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-cma

and update with::

   mamba update bioconductor-cma

To create a new environment, run:

mamba create --name myenvname bioconductor-cma

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

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