recipe bioconductor-gcsscore

GCSscore: an R package for microarray analysis for Affymetrix/Thermo Fisher arrays



GPL (>=3)



For differential expression analysis of 3'IVT and WT-style microarrays from Affymetrix/Thermo-Fisher. Based on S-score algorithm originally described by Zhang et al 2002.

package bioconductor-gcsscore

(downloads) docker_bioconductor-gcsscore



depends bioconductor-affxparser:


depends bioconductor-biobase:


depends r-base:


depends r-biocmanager:

depends r-data.table:

depends r-devtools:

depends r-dplr:

depends r-rsqlite:

depends r-stringr:



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-gcsscore

and update with::

   mamba update bioconductor-gcsscore

To create a new environment, run:

mamba create --name myenvname bioconductor-gcsscore

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

Download stats