Author

Tianze Dong

Duke University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Organism:human· 1 Assay:protein sequence· 1 Assay:scRNA-seq· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Bing HeiD· 1 shared Bing Xin GaoiD· 1 shared Christopher Kan· 1 shared Jianhua YaoiD· 1 shared Kapil DevkotaiD· 1 shared Lie WangiD· 1 shared Linrong LuiD· 1 shared Lize WuiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Bing HeORCID

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2 papers

Recent·Most cited

Disease associated human TCR characterization by deep-learning framework TCR-DeepInsight

Ziwei Xue, Lize Wu, Bing Xin Gao, Ruonan Tian, Yiru Chen, Yicheng Qi, Tianze Dong, Yadan Bai, Yu Shan Zhao, Bing He, Lie Wang, Zuozhu Liu, Jianhua Yao, Linrong Lu, Wanlu Liu

The paper constructs a single-cell GEX-TCR reference atlas and introduces TCR-DeepInsight, a deep-learning framework to characterize disease-associated TCRs.

Cell Discovery · Oct 14, 2025Peer-reviewedBioinformatics

Allo-Allo: Data-efficient prediction of allosteric sites

Tianze Dong, Christopher Kan, Kapil Devkota, Rohit Singh

Allo-Allo predicts allosteric sites using a data-efficient sequence-based method, achieving higher performance than existing approaches and showing translational potential in disease risk association.

bioRxiv · Sep 28, 2024 · PreprintBioinformatics