Author

Jin Shi

Hebei University of TechnologyORCID 0000-0002-5148-9075Unclaimed ORCID profile · follow to get notified of new preprints

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Jin Shi3 papers · Shanghai Jiao Tong University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:clustering· 2 Approach:graph neural network· 2 Assay:scATAC-seq· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:dimensionality reduction· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Xiaowen Cao· 2 shared Xuekui ZhangiD· 2 shared Yao DongiD· 2 shared Yongfeng DongiD· 2 shared Yushan Hu· 2 shared Chen Chen· 1 shared Jiaxue ZhangiD· 1 shared Li XingiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 26 mutual co-author links

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2 shared papersBioinformatics

Xiaowen Cao

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2 papers

Recent·Most cited

MOH: a novel multilayer multi-omics heterogeneous graph for single-cell clustering

Yao Dong, Chen Chen, Jin Shi, Yushan Hu, Xiaowen Cao, Yongfeng Dong, Xuekui Zhang

MOH improves single-cell clustering by integrating three omics types into a multilayer heterogeneous graph, achieving better performance than existing methods.

IEEE Journal of Biomedical and Health Informatics · Dec 12, 2025Peer-reviewedBioinformatics

scAGCI: an anchor graph-based method for cell clustering from integrated scRNA-seq and scATAC-seq data

Yao Dong, Jiaxue Zhang, Jin Shi, Yushan Hu, Xiaowen Cao, Li Xing, Yongfeng Dong, Xuekui Zhang

scAGCI improves cell clustering in integrated scRNA-seq and scATAC-seq data by using anchor graphs to capture shared and specific information, achieving better performance and biological relevance.

Briefings in Bioinformatics · Jul 1, 2025Peer-reviewedBioinformatics