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

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 details

AuthorPijush Das Developer [aut, cre], Dr. Susanta Roychudhury User [ctb], Dr. Sucheta Tripathy User [ctb]
Bioconductor views Classification FeatureExtraction GeneExpression GenePrediction Microarray Normalization SupportVectorMachine Transcription mRNAMicroarray
MaintainerPijush Das Developer <[email protected]>
LicenseGPL
Version1.0.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("sigFeature")

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sigFeature documentation built on Nov. 1, 2018, 4:52 a.m.