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OPENMENDEL: a cooperative programming project for statistical genetics.
Zhou, Hua; Sinsheimer, Janet S; Bates, Douglas M; Chu, Benjamin B; German, Christopher A; Ji, Sarah S; Keys, Kevin L; Kim, Juhyun; Ko, Seyoon; Mosher, Gordon D; Papp, Jeanette C; Sobel, Eric M; Zhai, Jing; Zhou, Jin J; Lange, Kenneth.
Afiliación
  • Zhou H; Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, USA. huazhou@ucla.edu.
  • Sinsheimer JS; Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, USA. jsinshei@g.ucla.edu.
  • Bates DM; Department of Statistics, University of Wisconsin, Madison, USA.
  • Chu BB; Department of Biomathematics, David Geffen School of Medicine at UCLA, Los Angeles, USA.
  • German CA; Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, USA.
  • Ji SS; Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, USA.
  • Keys KL; Department of Medicine, University of California, San Francisco, USA.
  • Kim J; Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, USA.
  • Ko S; Department of Statistics, Seoul National University, Seoul, South Korea.
  • Mosher GD; Departments of Statistics and Computer Science, University of California, Riverside, USA.
  • Papp JC; Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, USA.
  • Sobel EM; Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, USA.
  • Zhai J; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, USA.
  • Zhou JJ; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, USA.
  • Lange K; Department of Biomathematics, David Geffen School of Medicine at UCLA, Los Angeles, USA. klange@ucla.edu.
Hum Genet ; 139(1): 61-71, 2020 Jan.
Article en En | MEDLINE | ID: mdl-30915546
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lenguajes de Programación / Genoma Humano / Modelos Estadísticos / Biología Computacional / Estudio de Asociación del Genoma Completo Tipo de estudio: Guideline / Risk_factors_studies Límite: Humans Idioma: En Revista: Hum Genet Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lenguajes de Programación / Genoma Humano / Modelos Estadísticos / Biología Computacional / Estudio de Asociación del Genoma Completo Tipo de estudio: Guideline / Risk_factors_studies Límite: Humans Idioma: En Revista: Hum Genet Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos