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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "sigFeature" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'sigFeature: sigFeature: Significant feature selection using SVM-RFE & t-statistic'
version: 1.23.0
doi: 10.3389/fgene.2020.00247
abstract: 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.
authors:
- family-names: Developer
  given-names: Pijush Das
  email: topijush@gmail.com
preferred-citation:
  type: article
  title: 'sigFeature: Novel Significant Feature Selection Method for Classification
    of Gene Expression Data Using Support Vector Machine and t Statistic'
  authors:
  - family-names: Das
    given-names: Pijush
  - family-names: Roychowdhury
    given-names: Anirban
  - family-names: Das
    given-names: Subhadeep
  - family-names: Roychoudhury
    given-names: Susanta
  - family-names: Tripathy
    given-names: Sucheta
  journal: Frontiers in genetics
  year: '2020'
  volume: '11'
  doi: 10.3389/fgene.2020.00247
  url: https://www.frontiersin.org/article/10.3389/fgene.2020.00247
  start: '247'
repository: https://bioc.r-universe.dev
date-released: '2021-11-21'
contact:
- family-names: Developer
  given-names: Pijush Das
  email: topijush@gmail.com