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Ohno-Machado, Lucila; Sansone, Susanna-Assunta; Alter, George; Fore, Ian; Grethe, Jeffrey; Xu, Hua; Gonzalez-Beltran, Alejandra; Rocca-Serra, Philippe; Gururaj, Anupama E; Bell, Elizabeth; Soysal, Ergin; Zong, Nansu; Kim, Hyeon-Eui.
Afiliación
  • Ohno-Machado L; Health System Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA.
  • Sansone SA; Veterans Administration San Diego Healthcare System, San Diego, California, USA.
  • Alter G; e-Research Centre, University of Oxford, Oxford, UK.
  • Fore I; Department of History and Inter-University Consortium for Political and Social Research (ICPSR), Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.
  • Grethe J; US National Institutes of Health, Bethesda, Maryland, USA.
  • Xu H; Department of Neurosciences, University of California, San Diego, La Jolla, California, USA.
  • Gonzalez-Beltran A; School of Biomedical Informatics,University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Rocca-Serra P; e-Research Centre, University of Oxford, Oxford, UK.
  • Gururaj AE; e-Research Centre, University of Oxford, Oxford, UK.
  • Bell E; School of Biomedical Informatics,University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Soysal E; Health System Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA.
  • Zong N; School of Biomedical Informatics,University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Kim HE; Health System Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA.
Nat Genet ; 49(6): 816-819, 2017 05 26.
Article en En | MEDLINE | ID: mdl-28546571
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bases de Datos Factuales / Biología Computacional / Investigación Biomédica / Ontologías Biológicas / Metadatos Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bases de Datos Factuales / Biología Computacional / Investigación Biomédica / Ontologías Biológicas / Metadatos Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos