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A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis
Long diagnostic wait times hinder international efforts to address antibiotic 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 by a lac...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250494/ https://www.ncbi.nlm.nih.gov/pubmed/35780211 http://dx.doi.org/10.1038/s41467-022-31236-0 |