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Testing in Microbiome-Profiling Studies with MiRKAT, the Microbiome Regression-Based Kernel Association Test.
Zhao, Ni; Chen, Jun; Carroll, Ian M; Ringel-Kulka, Tamar; Epstein, Michael P; Zhou, Hua; Zhou, Jin J; Ringel, Yehuda; Li, Hongzhe; Wu, Michael C.
Afiliação
  • Zhao N; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  • Chen J; Division of Biomedical Statistics and Informatics and Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA. Electronic address: chen.jun2@mayo.edu.
  • Carroll IM; Division of Gastroenterology and Hepatology, Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA.
  • Ringel-Kulka T; Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Epstein MP; Department of Human Genetics, Emory University, Atlanta, GA 30322, USA.
  • Zhou H; Department of Statistics, North Carolina State University, Cary, Raleigh, NC 27695, USA.
  • Zhou JJ; Division of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ 85724, USA.
  • Ringel Y; Division of Gastroenterology and Hepatology, Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA.
  • Li H; Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19014, USA.
  • Wu MC; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. Electronic address: mcwu@fhcrc.org.
Am J Hum Genet ; 96(5): 797-807, 2015 May 07.
Article em En | MEDLINE | ID: mdl-25957468
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Microbiota / Genética Populacional Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article
Texto completo
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Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Microbiota / Genética Populacional Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article