recipe bioconductor-diffcoexp

Differential Co-expression Analysis



GPL (>2)



A tool for the identification of differentially coexpressed links (DCLs) and differentially coexpressed genes (DCGs). DCLs are gene pairs with significantly different correlation coefficients under two conditions. DCGs are genes with significantly more DCLs than by chance.

package bioconductor-diffcoexp

(downloads) docker_bioconductor-diffcoexp



depends bioconductor-biocgenerics:


depends bioconductor-summarizedexperiment:


depends r-base:


depends r-diffcorr:

depends r-igraph:

depends r-psych:

depends r-wgcna:



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-diffcoexp

and update with::

   mamba update bioconductor-diffcoexp

To create a new environment, run:

mamba create --name myenvname bioconductor-diffcoexp

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

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