recipe bioconductor-dart

Denoising Algorithm based on Relevance network Topology

Homepage:

https://bioconductor.org/packages/3.16/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:
1.46.0-01.42.0-01.40.0-01.38.0-11.38.0-01.36.0-01.34.0-01.32.0-11.32.0-0

1.46.0-01.42.0-01.40.0-01.38.0-11.38.0-01.36.0-01.34.0-01.32.0-11.32.0-01.30.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-dart

and update with:

conda update bioconductor-dart

or 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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