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scRCA: A Siamese network-based pipeline for annotating cell types using noisy single-cell RNA-seq reference data.

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第一作者： Yan,Liu

第一单位： Department of Computer Science, Yangzhou University, Yangzhou, 225100, China.

作者： Yan,Liu ^[1] ; Chen,Li ^[2] ; Long-Chen,Shen ^[3] ; He,Yan ^[3] ; Guo,Wei ^[4] ; Robin B,Gasser ^[5] ; Xiaohua,Hu ^[6] ; Jiangning,Song ^[7] ; Dong-Jun,Yu ^[8]

作者单位： Department of Computer Science, Yangzhou University, Yangzhou, 225100, China. ^[1] Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Victoria, 3800, Australia. ^[2] School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing, 210094, China. ^[3] School of Life Sciences, Nanjing University, Nanjing, 210023, China. ^[4] Monash Data Futures Institute, Monash University, Melbourne, Victoria, 3800, Australia. ^[5] Information Department, The First Affiliated Hospital of Naval Military Medical University, Changhai Road 168, Shanghai, 200433, China. ^[6] Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Victoria, 3800, Australia; Monash Data Futures Institute, Monash University, Melbourne, Victoria, 3800, Australia. Electronic address: jiangning.song@monash.edu. ^[7] School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing, 210094, China. Electronic address: njyudj@njust.edu.cn. ^[8]

关键词 Cell type annotation Interpretability Marker genes identification Noisy reference datasets Single-cell transcriptomic data

医学主题词单细胞分析(Single-Cell Analysis);人类(Humans);序列分析, RNA(Sequence Analysis, RNA);计算生物学(Computational Biology);基因表达谱(Gene Expression Profiling);软件(Software)

DOI 10.1016/j.compbiomed.2025.110068

PMID 40158457

发布时间 2025-04-20

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