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GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.
Gröschel, Matthias I; Owens, Martin; Freschi, Luca; Vargas, Roger; Marin, Maximilian G; Phelan, Jody; Iqbal, Zamin; Dixit, Avika; Farhat, Maha R.
Afiliación
  • Gröschel MI; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Owens M; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Freschi L; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Vargas R; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Marin MG; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Phelan J; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Iqbal Z; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Dixit A; Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
  • Farhat MR; European Bioinformatics Institute, Hinxton, Cambridge, CB10 ISD, UK.
Genome Med ; 13(1): 138, 2021 08 30.
Article en En | MEDLINE | ID: mdl-34461978
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Tuberculosis Resistente a Múltiples Medicamentos / Biología Computacional / Farmacorresistencia Bacteriana / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Genome Med Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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XML
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Tuberculosis Resistente a Múltiples Medicamentos / Biología Computacional / Farmacorresistencia Bacteriana / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Genome Med Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos