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Designing sensitive viral diagnostics with machine learning.
Metsky, Hayden C; Welch, Nicole L; Pillai, Priya P; Haradhvala, Nicholas J; Rumker, Laurie; Mantena, Sreekar; Zhang, Yibin B; Yang, David K; Ackerman, Cheri M; Weller, Juliane; Blainey, Paul C; Myhrvold, Cameron; Mitzenmacher, Michael; Sabeti, Pardis C.
Afiliación
  • Metsky HC; Broad Institute of MIT and Harvard, Cambridge, MA, USA. hayden@broadinstitute.org.
  • Welch NL; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA. hayden@broadinstitute.org.
  • Pillai PP; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Haradhvala NJ; Virology Program, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA.
  • Rumker L; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Mantena S; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Zhang YB; Biophysics Program, Harvard Medical School, Boston, MA, USA.
  • Yang DK; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Ackerman CM; Bioinformatics and Integrative Genomics Program, Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Weller J; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Blainey PC; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
  • Myhrvold C; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Mitzenmacher M; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
  • Sabeti PC; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nat Biotechnol ; 40(7): 1123-1131, 2022 07.
Article en En | MEDLINE | ID: mdl-35241837
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ácidos Nucleicos / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Nat Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ácidos Nucleicos / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Nat Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos