Author

Yuheng Chen

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.

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Biology Disciplines

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Bioinformatics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Can YangiD· 2 shared Hao CheniD· 2 shared Jiashun XiaoiD· 2 shared Jiguang WangiD· 2 shared Yeqin ZengiD· 2 shared Yuyao LiuiD· 2 shared Zitong Chao· 2 shared Angela Ruohao WuiD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Can YangORCID

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Author profile →

3 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

Deep Learning for Alzheimer's Disease: Mapping Large-scale Histological Tau Protein for Neuroimaging Biomarker Validation

Maryana Alegro, Yuheng Chen, Dulce Ovando, Helmut Heinser, Rana Eser, Daniela Ushizima, Duygu Tosun, Lea T. Grinberg

This study develops a computational pipeline using SlideNet to segment tau inclusions in whole human brain histology, generating 3D density maps for validating PET tau tracers in Alzheimer's disease.

bioRxiv · May 27, 2020 · PreprintNeuroscience