recipe bioconductor-gsealm

Linear Model Toolset for Gene Set Enrichment Analysis

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/GSEAlm.html

License:

Artistic-2.0

Recipe:

/bioconductor-gsealm/meta.yaml

Links:

biotools: gsealm, doi: 10.1093/bioinformatics/btn465

Models and methods for fitting linear models to gene expression data, together with tools for computing and using various regression diagnostics.

package bioconductor-gsealm

(downloads) docker_bioconductor-gsealm

versions:
1.62.0-0,  1.60.0-0,  1.58.0-0,  1.54.0-0,  1.52.0-0,  1.50.0-1,  1.50.0-0,  1.48.0-0,  1.46.0-0, 

1.62.0-0,  1.60.0-0,  1.58.0-0,  1.54.0-0,  1.52.0-0,  1.50.0-1,  1.50.0-0,  1.48.0-0,  1.46.0-0,  1.44.0-1,  1.42.0-0,  1.40.0-0,  1.38.0-0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends r-base:

>=4.3,<4.4.0a0

requirements:

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 bioconductor-gsealm

and update with::

   mamba update bioconductor-gsealm

To create a new environment, run:

mamba create --name myenvname bioconductor-gsealm

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/bioconductor-gsealm:<tag>

(see `bioconductor-gsealm/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-gsealm/README.html)