Package: RPWNSC
Type: Package
Title: Run Purity Weighted Nearest Shrunken Centroid Feature Selection
Version: 0.1.0
Authors@R: c(
    person("Amjad", "Ali", email = "amjadali@uaeu.ac.ae", role = c("aut", "cre")),
    person("Zardad", "Khan", email = "zaar@uaeu.ac.ae", role = "aut"),
    person("Saeed", "Aldahmani", email = "saldahmani@uaeu.ac.ae", role = "aut")
    )
Author: Amjad Ali [aut, cre],
  Zardad Khan [aut],
  Saeed Aldahmani [aut]
Maintainer: Amjad Ali <amjadali@uaeu.ac.ae>
Description: 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) <doi:10.1016/j.mlwa.2026.100947>.
License: GPL-3
Encoding: UTF-8
LazyData: false
Depends: R (>= 3.5.0)
Imports: stats
NeedsCompilation: no
Packaged: 2026-07-11 13:18:22 UTC; Amjad Ali
Repository: CRAN
Date/Publication: 2026-07-21 09:50:11 UTC
Built: R 4.5.3; ; 2026-07-26 23:53:00 UTC; windows
