recipe bioconductor-gsgalgor

An Evolutionary Framework for the Identification and Study of Prognostic Gene Expression Signatures in Cancer

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/GSgalgoR.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-gsgalgor/meta.yaml

A multi-objective optimization algorithm for disease sub-type discovery based on a non-dominated sorting genetic algorithm. The 'Galgo' framework combines the advantages of clustering algorithms for grouping heterogeneous 'omics' data and the searching properties of genetic algorithms for feature selection. The algorithm search for the optimal number of clusters determination considering the features that maximize the survival difference between sub-types while keeping cluster consistency high.

package bioconductor-gsgalgor

(downloads) docker_bioconductor-gsgalgor

Versions:

1.8.0-01.4.0-01.2.1-01.0.0-11.0.0-0

Depends:
Required By:

Installation

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

conda install bioconductor-gsgalgor

and update with:

conda update bioconductor-gsgalgor

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-gsgalgor:<tag>

(see bioconductor-gsgalgor/tags for valid values for <tag>)

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