recipe bioconductor-dualks

This package implements a Kolmogorov Smirnov rank-sum based algorithm for training (i.e. discriminant analysis–identification of genes that discriminate between classes) and classification of gene expression data sets. One of the chief strengths of this approach is that it is amenable to the “multiclass” problem. That is, it can discriminate between more than 2 classes.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/dualKS.html

License

LGPL (>= 2.0)

Recipe

/bioconductor-dualks/meta.yaml

package bioconductor-dualks

(downloads) docker_bioconductor-dualks

Versions

1.42.0-0

Depends
Required By

Installation

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

conda install bioconductor-dualks

and update with:

conda update bioconductor-dualks

or use the docker container:

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

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