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Background fluorescence and spreading error are major contributors of variability in high-dimensional flow cytometry data visualization by t-distributed stochastic neighboring embedding.

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第一作者： Emilia Maria Cristina,Mazza

第一单位： Laboratory of Translational Immunology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy.

作者： Emilia Maria Cristina,Mazza ^[1] ; Jolanda,Brummelman ^[1] ; Giorgia,Alvisi ^[1] ; Alessandra,Roberto ^[1] ; Federica,De Paoli ^[1] ; Veronica,Zanon ^[1] ; Federico,Colombo ^[2] ; Mario,Roederer ^[3] ; Enrico,Lugli ^[4]

作者单位： Laboratory of Translational Immunology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy. ^[1] Humanitas Flow Cytometry Core, Humanitas Clinical and Research Center, Rozzano, Milan, Italy. ^[2] ImmunoTechnology Section, Vaccine Research Center, National Institutes of Health, Bethesda, Maryland. ^[3] Laboratory of Translational Immunology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy.;Humanitas Flow Cytometry Core, Humanitas Clinical and Research Center, Rozzano, Milan, Italy. ^[4]

关键词 CD8 T cell high-dimensional data polychromatic flow cytometry single cell tSNE

医学主题词算法(Algorithms);计算生物学(Computational Biology);流式细胞术(Flow Cytometry);荧光(Fluorescence);人类(Humans);序列分析, RNA(Sequence Analysis, RNA);单细胞分析(Single-Cell Analysis)

DOI 10.1002/cyto.a.23566

PMID 30107099

发布时间 2024-11-13

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准确一般字义偏差语意偏离译文作用小提交