A review of machine learning methods for cancer characterization from microbiome data
Marco Teixeira,
Francisco Silva,
Rui M. Ferreira
et al.
Abstract:Recent studies have shown that the microbiome can impact cancer development, progression, and response to therapies suggesting microbiome-based approaches for cancer characterization. As cancer-related signatures are complex and implicate many taxa, their discovery often requires Machine Learning approaches. This review discusses Machine Learning methods for cancer characterization from microbiome data. It focuses on the implications of choices undertaken during sample collection, feature selection and pre-pro… Show more
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