Author

Zitong Chao

Hong Kong University of Science and Technology

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· 3 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:spatial transcriptomics· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

Can YangiD· 4 shared Hao CheniD· 3 shared Jiashun XiaoiD· 3 shared Jiguang WangiD· 3 shared Yuyao LiuiD· 3 shared Fan Zhang· 2 shared Shi HaniD· 2 shared Yeqin ZengiD· 2 shared

Activity by Year

2026-2026 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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4 shared papersBioinformatics

Can YangORCID

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Author profile →

4 papers

Recent·Most cited

CellART: a unified framework for extracting single-cell information from high-resolution spatial transcriptomics

Yuheng Chen, Yuyao Liu, Zhiwei Wang, Yeqin Zeng, Zitong Chao, Peiqi Jiang, Hao Chen, Jiguang Wang, Jiashun Xiao, Can Yang

CellART extracts single-cell information from high-resolution spatial transcriptomics data across multiple platforms, demonstrating efficiency and accuracy in cancer datasets.

Nature Computational Science · Oct 5, 2026Peer-reviewedBioinformatics

Accurate and scalable decontamination of imaging-based spatial transcriptomics via optimal transport

Yuheng Chen, Yuyao Liu, Zitong Chao, Shi Han, Yeqin Zeng, Baichen Yu, Fan Zhang, Angela Ruohao Wu, Jiguang Wang, Hao Chen, Jiashun Xiao, Can Yang

CellDot improves spatial transcriptomics by accurately decontaminating transcript assignments using optimal transport, enhancing biological interpretation and spatial pattern recovery.

bioRxiv · Sep 15, 2026 · PreprintBioinformatics

STAT: A multi-agent framework for integrated and interactive spatial transcriptomics analysis

Y H Chen, Shi Han, Zitong Chao, Yuyao Liu, Fan Zhang, Hao Chen, Jiguang Wang, Jiashun Xiao, Can Yang

STAT is a multi-agent framework that improves spatial transcriptomics analysis by enabling interactive, transparent, and efficient multi-task analysis across different data resolutions.

bioRxiv · May 7, 2026 · PreprintBioinformatics

XMR: A cross-population Mendelian randomization method for causal inference using genome-wide summary statistics

Xinrui Huang, Zitong Chao, Zhiwei Wang, Xianghong Hu, Can Yang

XMR improves causal inference in underrepresented populations by using cross-population GWAS summary statistics to increase instrumental variables and enhance statistical power.

medRxiv · Mar 10, 2026 · PreprintGenetic & Genomic Medicine