BioinformaticsPLoS Computational BiologyPeer-reviewed
Predicting Antimicrobial Resistance Using Conserved Genes
Marcus Nguyen, Robert Olson, Maulik P. Shukla…·James J. Davis
This study shows that machine learning can predict antimicrobial resistance using conserved non-AMR genes from incomplete genomes, achieving F1 scores of 0.80-0.89 with 100 genes.