Matthews correlation coefficient-based feature ranking in recursive ensemble feature selection for high-dimensional and low-sample size data

Identifying reliable biomarkers in omics data is challenging due to the high number of features and limited sample sizes, which often lead to overfitting, biased results, and poor reproducibility. These issues are further complicated by class imbalance, common in medical datasets. To address these c...

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Bibliographic Details

Published in:	Machine Learning with Applications
Main Authors:	David Rojas-Velazquez, Aletta D. Kraneveld, Alberto Tonda, Alejandro Lopez-Rincon
Format:	Article
Language:	English
Published:	Elsevier 2025-12-01
Subjects:	Feature selection Machine learning Biomarker discovery Deep learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666827025001409