recipe r-DGEclustering

DGEclustering is an R package for multidimensional clustering of differential gene expression datasets, and it integrates GO annotations to improve the clustering result.

Homepage:

https://github.com/reneechou123/DGEclustering

License:

MIT

Recipe:

/r-DGEclustering/meta.yaml

package r-dgeclustering

versions:

0.1.0-5,  0.1.0-4,  0.1.0-3,  0.1.0-2,  0.1.0-1,  0.1.0-0

depends bioconductor-annotationdbi:

depends bioconductor-clusterprofiler:

depends bioconductor-genomicfeatures:

depends bioconductor-gosemsim:

depends r-base:

>=4.3,<4.4.0a0

depends r-cluster:

depends r-factominer:

depends r-ggplot2:

depends r-intego:

depends r-reshape2:

depends r-rlist:

requirements:

additional platforms:

Installation

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 r-dgeclustering

and update with::

   mamba update r-dgeclustering

To create a new environment, run:

mamba create --name myenvname r-dgeclustering

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 quay.io/biocontainers/r-dgeclustering:<tag>

(see `r-dgeclustering/tags`_ for valid values for ``<tag>``)

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