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 (3.23)
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")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") 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 | ||
| NEWS | Text |
Details
| biocViews | Classification, FeatureExtraction, GeneExpression, GenePrediction, Microarray, Normalization, Software, SupportVectorMachine, Transcription, mRNAMicroarray |
| Version | 1.30.0 |
| In Bioconductor since | BioC 3.8 (R-3.5) (8 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_1.30.0.tar.gz |
| Windows Binary (x86_64) | sigFeature_1.30.0.zip |
| macOS Binary (big-sur-x86_64) | sigFeature_1.30.0.tgz |
| macOS Binary (sonoma-arm64) | sigFeature_1.30.0.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 |