Article

Deep learning predicts tuberculosis drug resistance status from genome sequencing data

2018-03-03

Abstract excerpt

<h4>Background</h4> The diagnosis of multidrug resistant and extensively drug resistant tuberculosis is a global health priority. Whole genome sequencing of clinical Mycobacterium tuberculosis isolates promises to circumvent the long wait times and limited scope of conventional phenotypic antimicrobial susceptibility, but gaps remain for predicting phenotype accurately from genotypic data. <h4>Methods and Findi...

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Literature Corpus work: 9c021336-88fb-5f43-b437-83b89365c5ed
DOI: 10.1101/275628

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