recipe bioconductor-dart

Denoising Algorithm based on Relevance network Topology

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-dart/meta.yaml

Denoising Algorithm based on Relevance network Topology (DART) is an algorithm designed to evaluate the consistency of prior information molecular signatures (e.g in-vitro perturbation expression signatures) in independent molecular data (e.g gene expression data sets). If consistent, a pruning network strategy is then used to infer the activation status of the molecular signature in individual samples.

package bioconductor-dart

(downloads) docker_bioconductor-dart

versions:
1.54.0-01.50.0-01.48.0-01.46.0-01.42.0-01.40.0-01.38.0-11.38.0-01.36.0-0

1.54.0-01.50.0-01.48.0-01.46.0-01.42.0-01.40.0-01.38.0-11.38.0-01.36.0-01.34.0-01.32.0-11.32.0-01.30.0-0

depends r-base:

>=4.4,<4.5.0a0

depends r-igraph:

>=0.6.0

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 bioconductor-dart

and update with::

   mamba update bioconductor-dart

To create a new environment, run:

mamba create --name myenvname bioconductor-dart

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-dart:<tag>

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

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