sigFeature

DOI: 10.18129/B9.bioc.sigFeature    

This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see sigFeature.

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

Bioconductor version: 3.12

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 "4.0") 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 1.8.0
In Bioconductor since BioC 3.8 (R-3.5) (2.5 years)
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_1.8.0.tar.gz
Windows Binary sigFeature_1.8.0.zip
macOS 10.13 (High Sierra) sigFeature_1.8.0.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

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