Quantitative drug susceptibility testing for Mycobacterium tuberculosis using unassembled sequencing data and machine learning.
There remains a clinical need for better approaches to rapid drug susceptibility testing in view of the increasing burden of multidrug resistant tuberculosis. Binary susceptibility phenotypes only capture changes in minimum inhibitory concentration when these cross the critical concentration, even t...
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science (PLoS)
2024-08-01
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| Col·lecció: | PLoS Computational Biology |
| Accés en línia: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1012260&type=printable |
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