Machine-learning prediction of resistance to sub-inhibitory antimicrobial concentrations from Escherichia coli genomes
S. Benkwitz-Bedford, M. Palm, T. Y. Demirtas, V. Mustonen, A. Farewell, J. Warringer, D. Moradigaravand, L. Parts
This paper uses machine learning to predict E. coli growth under sub-inhibitory antimicrobial concentrations from genomic data, finding moderate to strong correlations but highlighting remaining missing heritability.
bioRxiv · Mar 26, 2021 · PreprintMicrobiology