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A strategy for high-dimensional multivariable analysis classifies childhood asthma phenotypes from genetic, immunological, and environmental factors.

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第一作者： Norbert,Krautenbacher

第一单位： Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany.;Technische Universität München, Center for Mathematics, Chair of Mathematical Modeling of Biological Systems, Garching, Germany.

作者： Norbert,Krautenbacher ^[1] ; Nicolai,Flach ^[1] ; Andreas,Böck ^[2] ; Kristina,Laubhahn ^[3] ; Michael,Laimighofer ^[1] ; Fabian J,Theis ^[1] ; Donna P,Ankerst ^[4] ; Christiane,Fuchs ^[5] ; Bianca,Schaub ^[3]

作者单位： Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany.;Technische Universität München, Center for Mathematics, Chair of Mathematical Modeling of Biological Systems, Garching, Germany. ^[1] Department of Pulmonary and Allergy, Dr. von Hauner Children's Hospital, LMU, Munich, Germany. ^[2] Department of Pulmonary and Allergy, Dr. von Hauner Children's Hospital, LMU, Munich, Germany.;Member of German Lung Centre (DZL), CPC, Munich, Germany. ^[3] Technische Universität München, Center for Mathematics, Chair of Mathematical Modeling of Biological Systems, Garching, Germany.;University of Texas Health Science Center at San Antonio, San Antonio, Texas. ^[4] Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany.;Technische Universität München, Center for Mathematics, Chair of Mathematical Modeling of Biological Systems, Garching, Germany.;Faculty of Business Administration and Economics, Bielefeld University, Bielefeld, Germany. ^[5]

关键词 childhood asthma complex study design immunology machine learning risk prediction