recipe bioconductor-mammaprintdata

RGLists from the Glas and Buyse breast cancer studies






Gene expression data for the two breast cancer cohorts published by Glas and Buyse in 2006. This cohorts were used to implement and validate the mammaPrint breast cancer test.

package bioconductor-mammaprintdata

(downloads) docker_bioconductor-mammaprintdata



depends bioconductor-data-packages:


depends curl:

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-mammaprintdata

and update with::

   mamba update bioconductor-mammaprintdata

To create a new environment, run:

mamba create --name myenvname bioconductor-mammaprintdata

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

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