recipe bioconductor-cnorfeeder

Integration of CellNOptR to add missing links






This package integrates literature-constrained and data-driven methods to infer signalling networks from perturbation experiments. It permits to extends a given network with links derived from the data via various inference methods and uses information on physical interactions of proteins to guide and validate the integration of links.

package bioconductor-cnorfeeder

(downloads) docker_bioconductor-cnorfeeder



depends bioconductor-cellnoptr:


depends bioconductor-graph:


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-cnorfeeder

and update with::

   mamba update bioconductor-cnorfeeder

To create a new environment, run:

mamba create --name myenvname bioconductor-cnorfeeder

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

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