Feature weighted models to address lineage dependency in drug-resistance prediction from Mycobacterium tuberculosis genome sequences.

Billows, Nina; Phelan, Jody E; Xia, Dong; Peng, Yonghong; Clark, Taane G; Chang, Yu-Mei

Billows, Nina; Phelan, Jody E; Xia, Dong; Peng, Yonghong; Clark, Taane G; Chang, Yu-Mei.

Afiliación

Billows N; Department of Comparative Biomedical Sciences, Royal Veterinary College, London, United Kingdom.
Phelan JE; Alan Turing Institute, British Library, London, United Kingdom.
Xia D; Department of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Peng Y; Department of Comparative Biomedical Sciences, Royal Veterinary College, London, United Kingdom.
Clark TG; Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom.
Chang YM; Department of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Bioinformatics ; 39(7)2023 07 01.

Article en En | MEDLINE | ID: mdl-37428143

Asunto(s)

Mycobacterium tuberculosis; Tuberculosis Resistente a Múltiples Medicamentos; Tuberculosis; Humanos; Mycobacterium tuberculosis/genética; Tuberculosis Resistente a Múltiples Medicamentos/tratamiento farmacológico; Tuberculosis/tratamiento farmacológico; Mutación; Secuenciación Completa del Genoma; Antituberculosos/farmacología; Antituberculosos/uso terapéutico

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tuberculosis / Tuberculosis Resistente a Múltiples Medicamentos / Mycobacterium tuberculosis Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

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