A modified decision tree approach to improve the prediction and mutation discovery for drug resistance in Mycobacterium tuberculosis

A modified decision tree approach to improve the prediction and mutation discovery for drug resistance in Mycobacterium tuberculosis

Abstract Background Drug resistant Mycobacterium tuberculosis is complicating the effective treatment and control of tuberculosis disease (TB). With the adoption of whole genome sequencing as a diagnostic tool, machine learning approaches are being employed to predict M. tuberculosis resistance and...

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Bibliographic Details
Main Authors: Wouter Deelder, Gary Napier, Susana Campino, Luigi Palla, Jody Phelan, Taane G. Clark
Format: Article
Language:English
Published: BMC 2022-01-01
Series:BMC Genomics
Subjects:
Mycobacterium tuberculosis
Ethionamide
Cycloserine
PAS
Drug resistance
Machine learning
Online Access:https://doi.org/10.1186/s12864-022-08291-4

Internet

https://doi.org/10.1186/s12864-022-08291-4

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