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Systematic Error Removal Using Random Forest for Normalizing Large-Scale Untargeted Lipidomics Data.
Fan, Sili; Kind, Tobias; Cajka, Tomas; Hazen, Stanley L; Tang, W H Wilson; Kaddurah-Daouk, Rima; Irvin, Marguerite R; Arnett, Donna K; Barupal, Dinesh K; Fiehn, Oliver.
Afiliação
  • Fan S; West Coast Metabolomics Center, UC Davis Genome Center , University of California, Davis , 451 Health Sciences Drive , Davis , California 95616 , United States.
  • Kind T; West Coast Metabolomics Center, UC Davis Genome Center , University of California, Davis , 451 Health Sciences Drive , Davis , California 95616 , United States.
  • Cajka T; West Coast Metabolomics Center, UC Davis Genome Center , University of California, Davis , 451 Health Sciences Drive , Davis , California 95616 , United States.
  • Hazen SL; Department of Metabolomics , Institute of Physiology CAS , Videnska 1083 , 14220 Prague , Czech Republic.
  • Irvin MR; Department of Psychiatry and Behavioral Sciences, Department of Medicine and the Duke Institute for Brain Sciences , Duke University , Durham , North Carolina 27708 , United States.
  • Arnett DK; Department of Epidemiology , University of Alabama at Birmingham , 1720 Second Avenue South , Birmingham , Alabama 35294 , United States.
  • Barupal DK; College of Public Health , University of Kentucky , 121 Washington Avenue , Lexington , Kentucky 40508 , United States.
  • Fiehn O; West Coast Metabolomics Center, UC Davis Genome Center , University of California, Davis , 451 Health Sciences Drive , Davis , California 95616 , United States.
Anal Chem ; 91(5): 3590-3596, 2019 03 05.
Article em En | MEDLINE | ID: mdl-30758187
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Controle de Qualidade / Conjuntos de Dados como Assunto / Lipidômica Tipo de estudo: Clinical_trials / Observational_studies Idioma: En Revista: Anal Chem Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Controle de Qualidade / Conjuntos de Dados como Assunto / Lipidômica Tipo de estudo: Clinical_trials / Observational_studies Idioma: En Revista: Anal Chem Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos