Naz Gul

ARISE: An adaptive residual-informed stability ensemble for feature selection in small-sample biomedical omics

ARISE provides a transparent, adaptive framework that jointly addresses relevance, stability, redundancy, and multiclass discrimination and its consistent results across datasets, classifiers, metrics, and feature-set sizes support further evaluation for small-sample molecular classification.