recipe bioconductor-sigfeature

sigFeature: Significant feature selection using SVM-RFE & t-statistic

Homepage

https://bioconductor.org/packages/3.10/bioc/html/sigFeature.html

License

GPL

Recipe

/bioconductor-sigfeature/meta.yaml

This package provides a novel feature selection algorithm for binary classification using support vector machine recursive feature elimination SVM-RFE and t-statistic. In this feature selection process, the selected features are differentially significant between the two classes and also they are good classifier with higher degree of classification accuracy.

package bioconductor-sigfeature

(downloads) docker_bioconductor-sigfeature

Versions

1.4.0-0, 1.2.0-1, 1.0.0-0

Depends
Required By

Installation

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

conda install bioconductor-sigfeature

and update with:

conda update bioconductor-sigfeature

or use the docker container:

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

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