sigFeature

This is the released version of sigFeature; for the devel version, see sigFeature.

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


Bioconductor version: Release (3.20)

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 "4.4") 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.

Documentation

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

browseVignettes("sigFeature")
sigFeature HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Classification, FeatureExtraction, GeneExpression, GenePrediction, Microarray, Normalization, Software, SupportVectorMachine, Transcription, mRNAMicroarray
Version 1.24.0
In Bioconductor since BioC 3.8 (R-3.5) (6 years)
License GPL (>= 2)
Depends R (>= 3.5.0)
Imports biocViews, nlme, e1071, openxlsx, pheatmap, RColorBrewer, Matrix, SparseM, graphics, stats, utils, SummarizedExperiment, BiocParallel, methods
System Requirements
URL
See More
Suggests RUnit, BiocGenerics, knitr, rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package sigFeature_1.24.0.tar.gz
Windows Binary (x86_64) sigFeature_1.24.0.zip
macOS Binary (x86_64) sigFeature_1.24.0.tgz
macOS Binary (arm64) sigFeature_1.24.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/sigFeature
Source Repository (Developer Access) git clone [email protected]:packages/sigFeature
Bioc Package Browser https://code.bioconductor.org/browse/sigFeature/
Package Short Url https://bioconductor.org/packages/sigFeature/
Package Downloads Report Download Stats