Author

Zhaorun Wu

Xiamen 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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Research Focus:cell type annotation· 2 Organism:human· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:scRNA-seq· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Chaoyong James YangiD· 2 shared Bo Ying· 1 shared Fangfang XuiD· 1 shared Jia Song· 1 shared Jia Tao SongiD· 1 shared Jiayun WuiD· 1 shared Jin LiiD· 1 shared Kun Yin· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Chaoyong James YangORCID

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2 papers

Recent·Most cited

SpatioCell: Deep Integration of Histology and Spatial Transcriptomics for Profiling the Cellular Microenvironment at Single-Cell Level

Naiqiao Hou, Yue Yu, Zhaorun Wu, Yanqi Zhang, Jiayun Wu, Bo Ying, Zhixing Zhong, Fangfang Xu, Zeyu Wang, Chaoyong James Yang, Weihong Tan, Jia Song

SpatioCell integrates histology and spatial transcriptomics to extract single-cell resolution cell type and expression information from ST data, revealing microenvironment features in triple negative breast cancer.

中国科学通报：英文版 · Jun 3, 2026Peer-reviewedBioinformatics

mitoSplitter: A mitochondrial variants-based method for efficient demultiplexing of pooled single-cell RNA-seq

Xinrui Lin, Yingwen Chen, Li Lin, Kun Yin, Rui Cheng, Xin Lin, Xiaoyu Wang, Ye Guo, Zhaorun Wu, Yingkun Zhang, Jin Li, Chaoyong James Yang, Jia Tao Song

mitoSplitter uses mitochondrial RNA variants to demultiplex pooled single-cell RNA-seq data, enabling efficient analysis of multiple samples without batch effects.

Proceedings of the National Academy of Sciences · Sep 19, 2023Peer-reviewedBioinformatics