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A biochemically-interpretable machine learning classifier for microbial GWAS

Erol S. Kavvas, Laurence Yang, Jonathan M. Monk and 2 more

Nature Communications · 2020

doi:10.1038/s41467-020-16310-9

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Cited by papers we hold 4

Integration of machine learning and genome-scale metabolic modeling identifies multi-omics biomarkers for radiation resistance · 2021
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Genome-Scale Metabolic Modeling Enables In-Depth Understanding of Big Data · 2021
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Accelerating antibiotic discovery through artificial intelligence · 2021
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MetaNetX/MNXref: unified namespace for metabolites and biochemical reactions in the context of metabolic models · 2020
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