A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis

Abstract

Pathogen whole genome sequencing, coupled with statistical and machine learning models, offers a promising solution to multi-drug resistance diagnosis. Here, the authors present two deep convolutional neural networks that predict the antibiotic resistance phenotypes of M. tuberculosis isolates.