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Machine learning of human plasma lipidomes for obesity estimation in a large population cohort.
Gerl, Mathias J; Klose, Christian; Surma, Michal A; Fernandez, Celine; Melander, Olle; Männistö, Satu; Borodulin, Katja; Havulinna, Aki S; Salomaa, Veikko; Ikonen, Elina; Cannistraci, Carlo V; Simons, Kai.
Afiliação
  • Gerl MJ; Lipotype GmbH, Dresden, Germany.
  • Klose C; Lipotype GmbH, Dresden, Germany.
  • Surma MA; Lipotype GmbH, Dresden, Germany.
  • Fernandez C; Lukasiewicz Research Network-PORT Polish Center for Technology Development, Wroclaw, Poland.
  • Melander O; Department of Clinical Sciences, Lund University, Malmö, Sweden.
  • Männistö S; Department of Clinical Sciences, Lund University, Malmö, Sweden.
  • Borodulin K; Department of Emergency and Internal Medicine, Skåne University Hospital, Malmö, Sweden.
  • Havulinna AS; Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland.
  • Salomaa V; National Institute for Health and Welfare, Helsinki, Finland.
  • Ikonen E; National Institute for Health and Welfare, Helsinki, Finland.
  • Cannistraci CV; Institute for Molecular Medicine Finland (FIMM-HiLife), Helsinki, Finland.
  • Simons K; National Institute for Health and Welfare, Helsinki, Finland.
PLoS Biol ; 17(10): e3000443, 2019 10.
Article em En | MEDLINE | ID: mdl-31626640
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tecido Adiposo / Distribuição da Gordura Corporal / Aprendizado de Máquina / Lipidômica / Obesidade Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tecido Adiposo / Distribuição da Gordura Corporal / Aprendizado de Máquina / Lipidômica / Obesidade Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article