Author

Jun Shen

University of WollongongORCID 0000-0002-9403-7140Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Jun Shen1 paper · Sir Run Run Shaw Hospital

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:clustering· 2 Assay:ATAC-seq· 1 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Organism:human· 1 Research Focus:imputation· 1

Frequent Co-Authors

Jiang BianiD· 2 shared Yuxi LiuiD· 2 shared Zhenhao ZhangiD· 2 shared Flora Dilys SalimiD· 1 shared Fuyi LiiD· 1 shared Imran RazzakiD· 1 shared Mufan QuiiD· 1 shared Song WangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Jiang BianORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

GatorPrism: Prototype-Conditioned Routing across Coalition Graph Experts for Spatial Multi-Omics Integration

Zhenhao Zhang, Yiyao Zhang, Xiangtao Li, Jiang Bian, Jun Shen, Yuxi Liu

GatorPrism integrates spatial multi-omics data by balancing cross-omics consensus with modality-specific signals, achieving strong performance across clustering metrics and revealing tissue structure organization.

bioRxiv · Jul 24, 2026 · PreprintBioinformatics

GatorSC: Multi-Scale Cell and Gene Graphs with Mixture-of-Experts Fusion for Single-Cell Transcriptomics

Yuxi Liu, Zhenhao Zhang, Mufan Qui, Song Wang, Flora Dilys Salim, Jun Shen, Tianlong Chen, Imran Razzak, Fuyi Li, Jiang Bian

GatorSC improves single-cell transcriptomic analysis by integrating multi-scale cell and gene graphs with a Mixture-of-Experts fusion framework, outperforming existing methods in clustering, imputation, and annotation.

Briefings in Bioinformatics · May 1, 2026Peer-reviewedBioinformatics