recipe bioconductor-depecher

Determination of essential phenotypic elements of clusters in high-dimensional entities

Homepage

https://bioconductor.org/packages/3.11/bioc/html/DepecheR.html

License

MIT + file LICENSE

Recipe

/bioconductor-depecher/meta.yaml

The purpose of this package is to identify traits in a dataset that can separate groups. This is done on two levels. First, clustering is performed, using an implementation of sparse K-means. Secondly, the generated clusters are used to predict outcomes of groups of individuals based on their distribution of observations in the different clusters. As certain clusters with separating information will be identified, and these clusters are defined by a sparse number of variables, this method can reduce the complexity of data, to only emphasize the data that actually matters.

package bioconductor-depecher

(downloads) docker_bioconductor-depecher

Versions

1.4.0-01.2.0-01.0.3-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-depecher

and update with:

conda update bioconductor-depecher

or use the docker container:

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

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