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)