Dual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection

The selection of biomarker panels in omics data, challenged by numerous molecular features and limited samples, often requires the use of machine learning methods paired with wrapper feature selection techniques, like genetic algorithms. They test various feature sets—potential biomarker solutions—t...

Full description

Bibliographic Details

Published in:	Briefings in bioinformatics Vol. 26; no. 1
Main Authors:	Cattelani, Luca, Fortino, Vittorio
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 22.11.2024
Subjects:	Algorithms Biomarkers, Tumor - genetics Computational Biology - methods Humans Machine Learning Neoplasms - genetics Neoplasms - metabolism Problem Solving Protocol model selection overestimation adjustment genetic algorithms omics biomarker discovery multi-objective
ISSN:	1467-5463, 1477-4054, 1477-4054
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!