Machine Learning Reveals Time-Varying Microbial Predictors with Complex Effects on Glucose Regulation.

Aasmets, Oliver; Lüll, Kreete; Lang, Jennifer M; Pan, Calvin; Kuusisto, Johanna; Fischer, Krista; Laakso, Markku; Lusis, Aldons J; Org, Elin

Aasmets, Oliver; Lüll, Kreete; Lang, Jennifer M; Pan, Calvin; Kuusisto, Johanna; Fischer, Krista; Laakso, Markku; Lusis, Aldons J; Org, Elin.

Afiliação

Aasmets O; Institute of Genomics, Estonian Genome Centre, University of Tartu, Tartu, Estonia.
Lüll K; Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.
Lang JM; Institute of Genomics, Estonian Genome Centre, University of Tartu, Tartu, Estonia.
Pan C; Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.
Kuusisto J; Department of Medicine, University of California, Los Angeles, California, USA.
Fischer K; Department of Medicine, University of California, Los Angeles, California, USA.
Laakso M; Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, and Kuopio University Hospital, Kuopio, Finland.
Lusis AJ; Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia.
Org E; Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, and Kuopio University Hospital, Kuopio, Finland.

mSystems ; 6(1)2021 Feb 16.

Article em En | MEDLINE | ID: mdl-33594006

Palavras-chave

T2D; gut microbiome; machine learning; prediction analysis; type 2 diabetes

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: MSystems Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estônia

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