recipe bioconductor-gse13015

GEO accession data GSE13015_GPL6106 as a SummarizedExperiment



MIT License



Microarray expression matrix platform GPL6106 and clinical data for 67 septicemic patients and made them available as GEO accession [GSE13015]( GSE13015 data have been parsed into a SummarizedExperiment object available in ExperimentHub. This data data could be used as an example supporting BloodGen3Module R package.

package bioconductor-gse13015

(downloads) docker_bioconductor-gse13015



depends bioconductor-biobase:


depends bioconductor-data-packages:


depends bioconductor-geoquery:


depends bioconductor-preprocesscore:


depends bioconductor-summarizedexperiment:


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-gse13015

and update with::

   mamba update bioconductor-gse13015

To create a new environment, run:

mamba create --name myenvname bioconductor-gse13015

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-gse13015/tags`_ for valid values for ``<tag>``)

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