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A convolutional neural network highlights mutations relevant to antimicrobial resistance in <i>Mycobacterium tuberculosis</i>

2021-12-07

Abstract excerpt

Long diagnostic wait times hinder international efforts to address multi-drug resistance in M. tuberculosis . Pathogen whole genome sequencing, coupled with statistical and machine learning models, offers a promising solution. However, generalizability and clinical adoption have been limited in part by a lack of interpretability and verifiability, especially in deep learning methods. Here, we present a deep convo...

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Literature Corpus work
f945371f-9bdd-5361-a57c-7773ea8a4f1d
DOI
10.1101/2021.12.06.471431
Open publication

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A convolutional neural network highlights mutations relevant to antimicrobial resistance in <i>Mycobacterium tuberculosis</i>DOI 10.1101/2021.12.06.471431
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