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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Dettagli Bibliografici
Pubblicato in:Bioinformatics
Autori principali: Kouchaki, Samaneh, Yang, Yang, Walker, Timothy M, Sarah Walker, A, Wilson, Daniel J, Peto, Timothy E A, Crook, Derrick W, Clifton, David A
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2019
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Original Papers
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6596891/
https://ncbi.nlm.nih.gov/pubmed/30462147
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty949
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