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Canonical correlation analysis for multi-omics: Application to cross-cohort analysis.
Jiang, Min-Zhi; Aguet, François; Ardlie, Kristin; Chen, Jiawen; Cornell, Elaine; Cruz, Dan; Durda, Peter; Gabriel, Stacey B; Gerszten, Robert E; Guo, Xiuqing; Johnson, Craig W; Kasela, Silva; Lange, Leslie A; Lappalainen, Tuuli; Liu, Yongmei; Reiner, Alex P; Smith, Josh; Sofer, Tamar; Taylor, Kent D; Tracy, Russell P; VanDenBerg, David J; Wilson, James G; Rich, Stephen S; Rotter, Jerome I; Love, Michael I; Raffield, Laura M; Li, Yun.
Afiliação
  • Jiang MZ; Department of Applied Physical Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Aguet F; Illumina Artificial Intelligence Laboratory, Illumina, Inc., San Diego, California, United States of America.
  • Ardlie K; The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America.
  • Chen J; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Cornell E; Laboratory for Clinical Biochemistry Research, University of Vermont, Burlington, Vermont, United States of America.
  • Cruz D; Department of Medicine, Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
  • Durda P; Department of Pathology & Laboratory Medicine, University of Vermont, Colchester, Vermont, United States of America.
  • Gabriel SB; The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America.
  • Gerszten RE; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
  • Guo X; Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, University of California at Los Angeles, Torrance, California, United States of America.
  • Johnson CW; Department of Biostatistics, University of Washington at Seattle, Seattle, Washington, United States of America.
  • Kasela S; New York Genome Center, New York, New York, United States of America.
  • Lange LA; Department of Epidemiology, Department of Medicine, Division of Biomedical Informatics and Personalized Medicine, Lifecourse Epidemiology of Adiposity & Diabetes Center, Aurora, Colorado, United States of America.
  • Lappalainen T; New York Genome Center, New York, New York, United States of America.
  • Liu Y; Department of Medicine, Cardiology and Neurology, Duke University Medical Center, Durham, North Carolina, United States of America.
  • Reiner AP; Department of Epidemiology, University of Washington, Seattle, Washington, United States of America.
  • Smith J; Northwest Genomic Center, University of Washington, Seattle, Washington, United States of America.
  • Sofer T; Department of Biostatistics, Harvard Medical School, Medicine-Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
  • Taylor KD; Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, University of California at Los Angeles, Torrance, California, United States of America.
  • Tracy RP; Department of Pathology & Laboratory Medicine, University of Vermont, Colchester, Vermont, United States of America.
  • VanDenBerg DJ; Department of Preventive Medicine, University of Southern California, Los Angeles, California, United States of America.
  • Wilson JG; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
  • Rich SS; Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America.
  • Rotter JI; Department of Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, University of California at Los Angeles, Torrance, California, United States of America.
  • Love MI; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Raffield LM; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Li Y; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
PLoS Genet ; 19(5): e1010517, 2023 05.
Article em En | MEDLINE | ID: mdl-37216410
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteômica / Análise de Correlação Canônica Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS Genet Assunto da revista: GENETICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteômica / Análise de Correlação Canônica Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS Genet Assunto da revista: GENETICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos