Machine Learning Predicts Accurately Mycobacterium tuberculosis Drug Resistance From Whole Genome Sequencing Data

Machine Learning Predicts Accurately Mycobacterium tuberculosis Drug Resistance From Whole Genome Sequencing Data

Background: Tuberculosis disease, caused by Mycobacterium tuberculosis, is a major public health problem. The emergence of M. tuberculosis strains resistant to existing treatments threatens to derail control efforts. Resistance is mainly conferred by mutations in genes coding for drug targets or con...

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Bibliographic Details
Main Authors: Wouter Deelder, Sofia Christakoudi, Jody Phelan, Ernest Diez Benavente, Susana Campino, Ruth McNerney, Luigi Palla, Taane G. Clark
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-09-01
Series:Frontiers in Genetics
Subjects:
Mycobacterium tuberculosis
MDR-TB
XDR-TB
drug resistance
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00922/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.00922/full

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