Article

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

2023-10-31

Abstract excerpt

<h4>Motivation</h4> 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 nonexperts, remain. Automated machine learning (AutoML) can streamline this process; however, the issue of interpretability could persist. This r...

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Literature Corpus work: 3331bf7a-396f-5ee9-9a87-ce9e06b4bfe7
DOI: 10.1101/2023.10.26.564244

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