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: 2026-07-21 12:19:16 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-21 09:50:11 UTC
RemoteUrl: https://github.com/cran/RPWNSC
RemoteRef: HEAD
RemoteSha: 30a941659232b59e8b44c2a3d21722c20b0d9070