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Unsupervised phenotyping of Severe Asthma Research Program participants using expanded lung data.

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第一作者： Wei,Wu

第一单位： Lane Center for Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pa. Electronic address: weiwu2@cs.cmu.edu.

作者： Wei,Wu ^[1] ; Eugene,Bleecker ^[2] ; Wendy,Moore ^[2] ; William W,Busse ^[3] ; Mario,Castro ^[4] ; Kian Fan,Chung ^[5] ; William J,Calhoun ^[6] ; Serpil,Erzurum ^[7] ; Benjamin,Gaston ^[8] ; Elliot,Israel ^[9] ; Douglas,Curran-Everett ^[10] ; Sally E,Wenzel ^[11]

作者单位： Lane Center for Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pa. Electronic address: weiwu2@cs.cmu.edu. ^[1] Center for Human Genomics, School of Medicine, Wake Forest University, Winston-Salem, NC. ^[2] Division of Allergy and Immunology, University of Wisconsin, Madison, Wis. ^[3] Division of Pulmonary & Critical Care Medicine, Washington University School of Medicine, St Louis, Mo. ^[4] National Heart & Lung Institute, Imperial College, London, United Kingdom. ^[5] Department of Internal Medicine, University of Texas Medical Branch, Galveston, Tex. ^[6] Department of Pulmonary, Allergy and Critical Care Medicine, Cleveland Clinic, Cleveland, Ohio. ^[7] Division of Pediatric Pulmonology, and Allergy/Immunology, Department of Pediatrics, School of Medicine, Case Western Reserve University, Cleveland, Ohio. ^[8] Pulmonary Division, Brigham and Women's Hospital, Boston, Mass. ^[9] National Jewish Medical and Research Center, University of Colorado Health Sciences Center, Denver, Colo. ^[10] National Jewish Medical and Research Center, University of Colorado Health Sciences Center, Denver, Colo; Asthma Institute, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pa. Electronic address: wenzelse@upmc.edu. ^[11]

关键词 Asthma phenotyping supervised machine learning approaches unsupervised approaches variable analysis