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# CITATION.cff 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 "RPWNSC" in publications use:'
type: software
license: GPL-3.0-only
title: 'RPWNSC: Run Purity Weighted Nearest Shrunken Centroid Feature Selection'
version: 0.1.0
abstract: Provides a classifier independent filter method for high-dimensional gene-expression
  feature selection. The Run Purity Weighted Nearest Shrunken Centroid ('RPWNSC')
  score ranks genes by multiplying a run based purity score, which measures the compactness
  of class labels after sorting samples by each feature, by a scaled nearest shrunken
  centroid score, which measures standardized class centroid separation relative to
  within class variation. The top ranked features can then be used with downstream
  classifiers without wrapper search, feature clustering, or classifier dependent
  training. 'Amjad Ali, Zardad Khan, Saeed Aldahmani' (2026) <https://doi.org/10.1016/j.mlwa.2026.100947>.
authors:
- family-names: Ali
  given-names: Amjad
  email: amjadali@uaeu.ac.ae
- family-names: Khan
  given-names: Zardad
  email: zaar@uaeu.ac.ae
- family-names: Aldahmani
  given-names: Saeed
  email: saldahmani@uaeu.ac.ae
preferred-citation:
  type: article
  title: A run purity weighted nearest shrunken centroid feature selection for high-dimensional
    gene-expression classification
  authors:
  - family-names: Ali
    given-names: Amjad
    email: amjadali@uaeu.ac.ae
  - family-names: Khan
    given-names: Zardad
    email: zaar@uaeu.ac.ae
  - family-names: Aldahmani
    given-names: Saeed
    email: saldahmani@uaeu.ac.ae
  journal: Machine Learning with Applications
  volume: '25'
  year: '2026'
  issn: 2666-8270
  start: '100947'
repository: https://cran.r-universe.dev
commit: 30a941659232b59e8b44c2a3d21722c20b0d9070
date-released: '2026-07-21'
contact:
- family-names: Ali
  given-names: Amjad
  email: amjadali@uaeu.ac.ae