Article
An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction.
Briefings in bioinformatics - 5 Nov 2021
Yang Yang, Walker Timothy M, Kouchaki Samaneh, Wang Chenyang, Peto Timothy E A, Crook Derrick W, Clifton David A
Abstract excerpt
Antimicrobial resistance (AMR) poses a threat to global public health. To mitigate the impacts of AMR, it is important to identify the molecular mechanisms of AMR and thereby determine optimal therapy as early as possible. Conventional machine learning-based drug-resistance analyses assume genetic variations to be homogeneous, thus not distinguishing between coding and intergenic sequences. In this study, we...
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