recipe r-classdiscovery

Defines the classes used for "class discovery" problems in the OOMPA project (<http://oompa.r-forge.r-project.org/>). Class discovery primarily consists of unsupervised clustering methods with attempts to assess their statistical significance.

Homepage:

http://oompa.r-forge.r-project.org/

License:

APACHE / Apache-2.0

Recipe:

/r-classdiscovery/meta.yaml

package r-classdiscovery

(downloads) docker_r-classdiscovery

versions:
3.4.5-03.4.0-23.4.0-13.4.0-03.3.13-23.3.13-13.3.13-03.3.12-23.3.12-1

3.4.5-03.4.0-23.4.0-13.4.0-03.3.13-23.3.13-13.3.13-03.3.12-23.3.12-13.3.12-03.3.11-03.3.9-13.3.9-0

depends bioconductor-biobase:

depends r-base:

>=4.3,<4.4.0a0

depends r-cluster:

depends r-mclust:

depends r-oompabase:

>=3.0.1

depends r-oompadata:

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 r-classdiscovery

and update with::

   mamba update r-classdiscovery

To create a new environment, run:

mamba create --name myenvname r-classdiscovery

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-classdiscovery:<tag>

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

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