Package: sigFeature
Type: Package
Title: sigFeature: Significant feature selection using SVM-RFE &
        t-statistic
Version: 1.28.0
Date: 2021-11-21
Authors@R: c(person("Pijush Das", "Developer", role = c("aut", "cre"),
              email = "topijush@gmail.com"),
              person("Dr. Susanta Roychudhury", "User", role = "ctb"),
              person("Dr. Sucheta Tripathy", "User", role = "ctb",
              email = "tsucheta@iicb.res.in"))
Depends: R (>= 3.5.0)
Suggests: RUnit, BiocGenerics, knitr, rmarkdown
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
biocViews: FeatureExtraction, GeneExpression, Microarray,
        Transcription, mRNAMicroarray, GenePrediction, Normalization,
        Classification, SupportVectorMachine
Imports: biocViews, nlme, e1071, openxlsx, pheatmap, RColorBrewer,
        Matrix, SparseM, graphics, stats, utils, SummarizedExperiment,
        BiocParallel, methods
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/sigFeature
git_branch: RELEASE_3_22
git_last_commit: f80d75f
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.22
Date/Publication: 2025-10-29
NeedsCompilation: no
Packaged: 2025-10-30 05:27:37 UTC; biocbuild
Author: Pijush Das Developer [aut, cre],
  Dr. Susanta Roychudhury User [ctb],
  Dr. Sucheta Tripathy User [ctb]
Maintainer: Pijush Das Developer <topijush@gmail.com>
Built: R 4.5.1; ; 2025-10-30 12:39:51 UTC; unix
