Article

Predicting drug resistance in <i>M. tuberculosis</i> using a Long-term Recurrent Convolutional Network

2020-11-08

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Motivation</h4> Drug resistance in Mycobacterium tuberculosis (MTB) is a growing threat to human health worldwide. One way to mitigate the risk of drug resistance is to enable clinicians to prescribe the right antibiotic drugs to each patient through methods that predict drug resistance in MTB using whole-genome sequencing (WGS) data. Existing machine learning methods for this task typicall...

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Literature Corpus work: 7a844a92-7ca5-5a59-9d33-c7d523a48f9a
DOI: 10.1101/2020.11.07.372136

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