Automated machine learning and explainable AI (AutoML-XAI) for metabolomics: improving cancer diagnostics

MOTIVATION: Metabolomics generates complex data necessitating advanced computational methods for generating biological insight. While machine learning (ML) is promising, the challenges of selecting the best algorithms and tuning hyperparameters, particularly for non-experts, remain. Automated machin...

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Detalles Bibliográficos
Autores principales: Bifarin, Olatomiwa O., Fernández, Facundo M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634896/
https://www.ncbi.nlm.nih.gov/pubmed/37961534
http://dx.doi.org/10.1101/2023.10.26.564244

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634896/
https://www.ncbi.nlm.nih.gov/pubmed/37961534
http://dx.doi.org/10.1101/2023.10.26.564244

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