recipe bioconductor-divergence

Divergence: Functionality for assessing omics data by divergence with respect to a baseline






This package provides functionality for performing divergence analysis as presented in Dinalankara et al, "Digitizing omics profiles by divergence from a baseline", PANS 2018. This allows the user to simplify high dimensional omics data into a binary or ternary format which encapsulates how the data is divergent from a specified baseline group with the same univariate or multivariate features.

package bioconductor-divergence

(downloads) docker_bioconductor-divergence



depends bioconductor-summarizedexperiment:


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-divergence

and update with::

   mamba update bioconductor-divergence

To create a new environment, run:

mamba create --name myenvname bioconductor-divergence

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

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