首页> Metabolomics : Official journal of the Metabolomic Society> Revealing static and dynamic biomarkers from postprandial metabolomics data through coupled matrix and tensor factorizations.

Revealing static and dynamic biomarkers from postprandial metabolomics data through coupled matrix and tensor factorizations.

导出 LinkOut

翻译打印收藏纠错

第一作者： Lu,Li

第一单位： Department of Data Science and Knowledge Discovery, Simula Metropolitan Center for Digital Engineering, Oslo, Norway. lu@simula.no.

作者： Lu,Li ^[1] ; Shi,Yan ^[2] ; David,Horner ^[3] ; Morten A,Rasmussen ^[4] ; Age K,Smilde ^[5] ; Evrim,Acar ^[6]

作者单位： Department of Data Science and Knowledge Discovery, Simula Metropolitan Center for Digital Engineering, Oslo, Norway. lu@simula.no. ^[1] Department of Data Science and Knowledge Discovery, Simula Metropolitan Center for Digital Engineering, Oslo, Norway. ^[2] Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark. ^[3] Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.;Department of Food Science, University of Copenhagen, Copenhagen, Denmark. ^[4] Department of Data Science and Knowledge Discovery, Simula Metropolitan Center for Digital Engineering, Oslo, Norway.;Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands. ^[5] Department of Data Science and Knowledge Discovery, Simula Metropolitan Center for Digital Engineering, Oslo, Norway. evrim@simula.no. ^[6]

关键词 Coupled matrix and tensor factorizations Data fusion Dynamic biomarkers Postprandial metabolomics data Tensor factorizations