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sigFeature
This is thereleased version of sigFeature; for the devel version, seesigFeature.
sigFeature: Significant feature selection using SVM-RFE & t-statistic
Bioconductor version: Release (3.22)
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("sigFeature")):Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("sigFeature")For older versions of R, please refer to the appropriateBioconductor 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 | ||
| NEWS | Text |
Details
| biocViews | Classification,FeatureExtraction,GeneExpression,GenePrediction,Microarray,Normalization,Software,SupportVectorMachine,Transcription,mRNAMicroarray |
| Version | 1.28.0 |
| In Bioconductor since | BioC 3.8 (R-3.5) (7 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
FollowInstallation instructions to use this package in your R session.
| Source Package | sigFeature_1.28.0.tar.gz |
| Windows Binary (x86_64) | sigFeature_1.28.0.zip |
| macOS Binary (x86_64) | sigFeature_1.28.0.tgz |
| macOS Binary (arm64) | sigFeature_1.28.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/sigFeature |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/sigFeature |
| Bioc Package Browser | https://code.bioconductor.org/browse/sigFeature/ |
| Package Short Url | https://bioconductor.org/packages/sigFeature/ |
| Package Downloads Report | Download Stats |