A multi-view latent variable model reveals cellular heterogeneity in complex tissues for paired multimodal single-cell data.

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作者： Yuwei,Wang ^[1] ; Bin,Lian ^[1] ; Haohui,Zhang ^[1] ; Yuanke,Zhong ^[1] ; Jie,He ^[2] ; Fashuai,Wu ^[3] ; Knut,Reinert ^[4] ; Xuequn,Shang ^[1] ; Hui,Yang ^[5] ; Jialu,Hu ^[1]

作者单位： School of Computer Science, Northwestern Polytechnical University, Shaanxi 710129, China. ^[1] Department of Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China. ^[2] Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China. ^[3] Institut für Informatik, Freie Universität Berlin, 14195 Berlin, Germany. ^[4] School of Life Science, Northwestern Polytechnical University, Shaanxi 710072, China. ^[5]

主题词算法(Algorithms);细胞分化(Cell Differentiation);细胞谱系(Cell Lineage);模型, 统计学(Models, Statistical)

DOI 10.1093/bioinformatics/btad005

PMID 36622018

发布时间 2023-11-21

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