Author

Kun Ma

BGI Group (China)Primary ORCID profile (0009-0002-2816-5213 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Kun MaiD1 paper · Science and Technology Facilities Council

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Assay:spatial transcriptomics· 2 Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Joshua W. K. HoiD· 2 shared Ao CheniD· 1 shared Bosiljka TasiciD· 1 shared Carl WardiD· 1 shared Chi Wai Wong· 1 shared Chuanyu LiuiD· 1 shared Dandan CheniD· 1 shared Fei Ling· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Joshua W. K. HoORCID

Author profile →

3 papers

Recent·Most cited

CLEAR-ST: Physics-informed probabilistic decontamination of spatial transcriptomics by modeling mRNA lateral diffusion

Kun Ma, Yuanhua Huang, Joshua W. K. Ho

CLEAR-ST corrects mRNA lateral diffusion in spatial transcriptomics by modeling contamination with a physics-informed probabilistic framework, improving spatial domain recovery and downstream analysis accuracy.

bioRxiv · Aug 22, 2026 · PreprintBioinformatics

scDecouple: Decoupling cellular response from infect-ed proportion bias in scCRISPR-seq

Qiuchen Meng, Lei Wei, Kun Ma, Ming Shi, Xinyi Lin, Joshua W. K. Ho, Yinqing Li, Xuegong Zhang

scDecouple separates true cellular response from gRNA infection bias in scCRISPR-seq data, improving gene perturbation analysis in heterogeneous samples.

Briefings in Bioinformatics · Jan 10, 2024Peer-reviewedBioinformatics

Spatially resolved gene regulatory and disease vulnerability map of the adult Macaque cortex

Ying Lei, Mengnan Cheng, Zihao Li, Zhenkun Zhuang, Liang Li Wu, Yunong Sun, Lei Han, Zhi‐Hao Huang, Yuzhou Wang, Zifei Wang, Liqin Xu, Yue Yuan, Shang Liu, Taotao Pan, Jiarui Xie, , Xun Xu

The paper integrates single-cell ATAC and transcriptomic data with spatial transcriptomics to map regulatory features and disease vulnerabilities in macaque cortex.

bioRxiv · May 14, 2020 · PreprintNeuroscience