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A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis.
Green, Anna G; Yoon, Chang Ho; Chen, Michael L; Ektefaie, Yasha; Fina, Mack; Freschi, Luca; Gröschel, Matthias I; Kohane, Isaac; Beam, Andrew; Farhat, Maha.
Afiliação
  • Green AG; Department of Biomedical Informatics, Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA.
  • Yoon CH; Department of Biomedical Informatics, Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA.
  • Chen ML; Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, OX37LF, UK.
  • Ektefaie Y; Department of Biomedical Informatics, Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA.
  • Fina M; Stanford University School of Medicine, 291 Campus Dr, Stanford, CA, 94305, USA.
  • Freschi L; Department of Biomedical Informatics, Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA.
  • Gröschel MI; Harvard College, Cambridge, MA, 02138, USA.
  • Kohane I; Department of Biomedical Informatics, Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA.
  • Beam A; Department of Biomedical Informatics, Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA.
  • Farhat M; Department of Biomedical Informatics, Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA.
Nat Commun ; 13(1): 3817, 2022 07 02.
Article em En | MEDLINE | ID: mdl-35780211
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tuberculose / Mycobacterium tuberculosis Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tuberculose / Mycobacterium tuberculosis Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos