This is the released version of sigFeature; for the devel version, see sigFeature.
sigFeature: Significant feature selection using SVM-RFE & t-statisticBioconductor version: Release (3.21)
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.
Author: Pijush Das Developer [aut, cre], Dr. Susanta Roychudhury User [ctb], Dr. Sucheta Tripathy User [ctb]
Maintainer: Pijush Das Developer <topijush at gmail.com>
Citation (from within R, entercitation("sigFeature")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("sigFeature")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("sigFeature")Follow Installation instructions to use this package in your R session.
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