# ------------------------------------------------
# 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 "ARISE" in publications use:'
type: software
license: GPL-3.0-only
title: 'ARISE: Adaptive Residual-Informed Stability Ensemble Feature Selection'
version: 0.1.0
doi: 10.48550/arXiv.2608.14866
abstract: Provides the Adaptive Residual-Informed Stability Ensemble ('ARISE') method
  for supervised feature selection in small-sample biomedical omics. The method combines
  complementary relevance components, class-balanced subsample stability, residual-informed
  redundancy control, multiclass pair coverage, nested profile racing, and soft consensus.
  The main function returns only the column indices of the top-ranked features. Method
  details are described by Zardad Khan, Amjad Ali, Naz Gul, and Saeed Aldahmani (2026)
  <https://doi.org/10.48550/arXiv.2608.14866>.
authors:
- family-names: Khan
  given-names: Zardad
  email: zaar@uaeu.ac.ae
- family-names: Ali
  given-names: Amjad
  email: amjadali@uaeu.ac.ae
- family-names: Gul
  given-names: Naz
- family-names: Aldahmani
  given-names: Saeed
  email: saldahmani@uaeu.ac.ae
preferred-citation:
  type: article
  title: 'ARISE: An adaptive residual-informed stability ensemble for feature selection
    in small-sample biomedical omics'
  authors:
  - family-names: Khan
    given-names: Zardad
    email: zaar@uaeu.ac.ae
  - family-names: Ali
    given-names: Amjad
    email: amjadali@uaeu.ac.ae
  - family-names: Gul
    given-names: Naz
  - family-names: Aldahmani
    given-names: Saeed
    email: saldahmani@uaeu.ac.ae
  journal: arXiv preprint arXiv:2608.14866
  year: '2026'
  doi: 10.48550/arXiv.2608.14866
  url: https://arxiv.org/abs/2608.14866
repository: https://cran.r-universe.dev
commit: f1cba1b0247455b79443d7449d6e481dcf514546
date-released: '2026-11-07'
contact:
- family-names: Ali
  given-names: Amjad
  email: amjadali@uaeu.ac.ae