Bioconductor version: Release (3.11)
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")
):
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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("sigFeature")
R Script | sigFeature | |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | Classification, FeatureExtraction, GeneExpression, GenePrediction, Microarray, Normalization, Software, SupportVectorMachine, Transcription, mRNAMicroarray |
Version | 1.6.0 |
In Bioconductor since | BioC 3.8 (R-3.5) (2 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 |
Follow Installation instructions to use this package in your R session.
Source Package | sigFeature_1.6.0.tar.gz |
Windows Binary | sigFeature_1.6.0.zip |
macOS 10.13 (High Sierra) | sigFeature_1.6.0.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 |
Old Source Packages for BioC 3.11 | Source Archive |
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