Application of machine learning techniques to tuberculosis drug resistance analysis

MOTIVATION: Timely identification of Mycobacterium tuberculosis (MTB) resistance to existing drugs is vital to decrease mortality and prevent the amplification of existing antibiotic resistance. Machine learning methods have been widely applied for timely predicting resistance of MTB given a specifi...

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Detalles Bibliográficos
Autores principales: Kouchaki, Samaneh, Yang, Yang, Walker, Timothy M, Sarah Walker, A, Wilson, Daniel J, Peto, Timothy E A, Crook, Derrick W, Clifton, David A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6596891/
https://www.ncbi.nlm.nih.gov/pubmed/30462147
http://dx.doi.org/10.1093/bioinformatics/bty949

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6596891/
https://www.ncbi.nlm.nih.gov/pubmed/30462147
http://dx.doi.org/10.1093/bioinformatics/bty949

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