首页> Cytometry. Part A : the journal of the International Society for Analytical Cytology> Competitive SWIFT cluster templates enhance detection of aging changes.

Competitive SWIFT cluster templates enhance detection of aging changes.

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第一作者： Jonathan A,Rebhahn

第一单位： David H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, New York.

作者： Jonathan A,Rebhahn ^[1] ; David R,Roumanes ^[1] ; Yilin,Qi ^[1] ; Atif,Khan ^[2] ; Juilee,Thakar ^[3] ; Alex,Rosenberg ^[4] ; F Eun-Hyung,Lee ^[5] ; Sally A,Quataert ^[1] ; Gaurav,Sharma ^[6] ; Tim R,Mosmann ^[7]

作者单位： David H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, New York. ^[1] Department of Biostatistics and Computational Biology, University of Rochester, Rochester, New York. ^[2] Department of Biostatistics and Computational Biology, University of Rochester, Rochester, New York.;Department of Microbiology and Immunology, University of Rochester. ^[3] Department of Medicine, University of Rochester. ^[4] Department of Medicine, Emory University School of Medicine, Atlanta, Georgia. ^[5] Department of Biostatistics and Computational Biology, University of Rochester, Rochester, New York.;Department of Electrical and Computer Engineering, University of Rochester. ^[6] David H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, New York.;Department of Microbiology and Immunology, University of Rochester. ^[7]

关键词 EM algorithm SWIFT automated analysis competitive clustering flow cytometry immunophenotyping sample comparison template