Package: sigFeature
Type: Package
Title: sigFeature: Significant feature selection using SVM-RFE &
        t-statistic
Version: 1.31.0
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
Config/pak/sysreqs: make libicu-dev libxml2-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:48:02 UTC
RemoteUrl: https://github.com/bioc/sigFeature
RemoteRef: HEAD
RemoteSha: 7a6d947730b3a7e3b151b5c69d270083ae52a416
NeedsCompilation: no
Packaged: 2026-07-03 12:32:35 UTC; root
Author: Pijush Das Developer [aut, cre],
  Dr. Susanta Roychudhury User [ctb],
  Dr. Sucheta Tripathy User [ctb]
Maintainer: Pijush Das Developer <topijush@gmail.com>