An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction

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 v...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Yang, Walker, Timothy M, Kouchaki, Samaneh, Wang, Chenyang, Peto, Timothy E A, Crook, Derrick W, Clifton, David A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575050/
https://www.ncbi.nlm.nih.gov/pubmed/34414415
http://dx.doi.org/10.1093/bib/bbab299

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575050/
https://www.ncbi.nlm.nih.gov/pubmed/34414415
http://dx.doi.org/10.1093/bib/bbab299

Ejemplares similares