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...

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Vydáno v:	Briefings in bioinformatics Ročník 26; číslo 1
Hlavní autoři:	Cattelani, Luca, Fortino, Vittorio
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Oxford University Press 22.11.2024
Témata:	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
On-line přístup:	Získat plný text
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