sigFeature

This is the development version of sigFeature; for the stable release version, see sigFeature.

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

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DOI: 10.18129/B9.bioc.sigFeature

Bioconductor version: Development (3.23)

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, enter citation("sigFeature")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("sigFeature")

For older versions of R, please refer to the appropriate Bioconductor release.