MEvA-X: a hybrid multiobjective evolutionary tool using an XGBoost classifier for biomarkers discovery on biomedical datasets

MOTIVATION: Biomarker discovery is one of the most frequent pursuits in bioinformatics and is crucial for precision medicine, disease prognosis, and drug discovery. A common challenge of biomarker discovery applications is the low ratio of samples over features for the selection of a reliable not-re...

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Detalles Bibliográficos
Autores principales: Panagiotopoulos, Konstantinos, Korfiati, Aigli, Theofilatos, Konstantinos, Hurwitz, Peter, Deriu, Marco Agostino, Mavroudi, Seferina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354005/
https://www.ncbi.nlm.nih.gov/pubmed/37326976
http://dx.doi.org/10.1093/bioinformatics/btad384

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354005/
https://www.ncbi.nlm.nih.gov/pubmed/37326976
http://dx.doi.org/10.1093/bioinformatics/btad384

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