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

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 identify...

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Detalles Bibliográficos
Autores principales: Deelder, Wouter, Napier, Gary, Campino, Susana, Palla, Luigi, Phelan, Jody, Clark, Taane G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753810/
https://www.ncbi.nlm.nih.gov/pubmed/35016609
http://dx.doi.org/10.1186/s12864-022-08291-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753810/
https://www.ncbi.nlm.nih.gov/pubmed/35016609
http://dx.doi.org/10.1186/s12864-022-08291-4

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