recipe bioconductor-netboost

Network Analysis Supported by Boosting






Boosting supported network analysis for high-dimensional omics applications. This package comes bundled with the MC-UPGMA clustering package by Yaniv Loewenstein.

package bioconductor-netboost

(downloads) docker_bioconductor-netboost



depends bioconductor-impute:


depends libblas:


depends libcxx:


depends liblapack:


depends r-base:


depends r-colorspace:

depends r-dynamictreecut:

depends r-r.utils:

depends r-rcpp:

depends r-rcppparallel:

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-netboost

and update with::

   mamba update bioconductor-netboost

To create a new environment, run:

mamba create --name myenvname bioconductor-netboost

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

Download stats