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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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| 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 |