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...

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Detalles Bibliográficos
Autores principales: Green, Anna G., Yoon, Chang Ho, Chen, Michael L., Ektefaie, Yasha, Fina, Mack, Freschi, Luca, Gröschel, Matthias I., Kohane, Isaac, Beam, Andrew, Farhat, Maha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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