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A biochemically-interpretable machine learning classifier for microbial GWAS

Current machine learning classifiers have successfully been applied to whole-genome sequencing data to identify genetic determinants of antimicrobial resistance (AMR), but they lack causal interpretation. Here we present a metabolic model-based machine learning classifier, named Metabolic Allele Cla...

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Detalles Bibliográficos
Autores principales:	Kavvas, Erol S., Yang, Laurence, Monk, Jonathan M., Heckmann, David, Palsson, Bernhard O.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244534/ https://www.ncbi.nlm.nih.gov/pubmed/32444610 http://dx.doi.org/10.1038/s41467-020-16310-9

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