recipe bioconductor-epinem







epiNEM is an extension of the original Nested Effects Models (NEM). EpiNEM is able to take into account double knockouts and infer more complex network signalling pathways. It is tailored towards large scale double knock-out screens.

package bioconductor-epinem

(downloads) docker_bioconductor-epinem



depends bioconductor-graph:


depends bioconductor-minet:


depends bioconductor-mnem:


depends r-base:


depends r-boolnet:

depends r-e1071:

depends r-gtools:

depends r-igraph:

depends r-latex2exp:

depends r-lattice:

depends r-latticeextra:

depends r-pcalg:

depends r-rcolorbrewer:



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-epinem

and update with::

   mamba update bioconductor-epinem

To create a new environment, run:

mamba create --name myenvname bioconductor-epinem

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

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