- recipe bioconductor-sigfeature
sigFeature: Significant feature selection using SVM-RFE & t-statistic
- Homepage:
https://bioconductor.org/packages/3.14/bioc/html/sigFeature.html
- License:
GPL (>= 2)
- Recipe:
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¶
-
- Versions:
1.12.0-0
,1.10.0-0
,1.8.0-1
,1.8.0-0
,1.6.0-0
,1.4.0-0
,1.2.0-1
,1.0.0-0
- Depends:
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-biocviews
>=1.62.0,<1.63.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
r-base
>=4.1,<4.2.0a0
- Required By:
Installation
With an activated Bioconda channel (see 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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-sigfeature/README.html)