recipe bioconductor-discordant

The Discordant Method: A Novel Approach for Differential Correlation






Discordant is an R package that identifies pairs of features that correlate differently between phenotypic groups, with application to -omics data sets. Discordant uses a mixture model that “bins” molecular feature pairs based on their type of coexpression or coabbundance. Algorithm is explained further in "Differential Correlation for Sequencing Data"" (Siska et al. 2016).

package bioconductor-discordant

(downloads) docker_bioconductor-discordant



depends bioconductor-biobase:


depends bioconductor-biobase:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends libstdcxx-ng:


depends r-base:


depends r-biwt:

depends r-dplyr:

depends r-gtools:

depends r-mass:

depends r-rcpp:



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-discordant

and update with::

   mamba update bioconductor-discordant

To create a new environment, run:

mamba create --name myenvname bioconductor-discordant

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

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