sigFeature

DOI: 10.18129/B9.bioc.sigFeature    

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see sigFeature.

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

Bioconductor version: 3.9

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>

Installation

To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("sigFeature")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("sigFeature")

 

PDF	R Script	sigFeature
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	Classification, FeatureExtraction, GeneExpression, GenePrediction, Microarray, Normalization, Software, SupportVectorMachine, Transcription, mRNAMicroarray
Version	1.2.0
In Bioconductor since	BioC 3.8 (R-3.5) (1 year)
License	GPL
Depends	R (>= 3.5.0)
Imports	biocViews, nlme, e1071, openxlsx, pheatmap, RColorBrewer, Matrix, SparseM, graphics, stats, utils, SummarizedExperiment, BiocParallel, methods
LinkingTo
Suggests	RUnit, BiocGenerics, knitr
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	sigFeature_1.2.0.tar.gz
Windows Binary	sigFeature_1.2.0.zip
Mac OS X 10.11 (El Capitan)	sigFeature_1.2.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/sigFeature
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/sigFeature
Package Short Url	https://bioconductor.org/packages/sigFeature/
Package Downloads Report	Download Stats