Author

Zhuoxuan LI

University of Hong Kong

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· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Assay:scRNA-seq· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Pengtao LiuiD· 2 shared Yuanhua HuangiD· 2 shared Angela Ruohao WuiD· 1 shared Can YangiD· 1 shared Gefei WangiD· 1 shared Jiashun XiaoiD· 1 shared Mingze GaoiD· 1 shared Mo R. EbrahimkhaniiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersDevelopmental Biology

Pengtao LiuORCID

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2 papers

Recent·Most cited

Organoid-based single-cell spatiotemporal gene expression landscape of human embryonic development and hematopoiesis

Yiming Chao, Yang Xiang, Jiashun Xiao, Shihui Zhang, Weizhong Zheng, Xiaomeng Wan, Zhuoxuan LI, Mingze Gao, Gefei Wang, Zhilin Chen, Mo R. Ebrahimkhani, Can Yang, Angela Ruohao Wu, Pentao Liu, Yuanhua Huang, Ryohichi Sugimura

The paper defines the single-cell spatiotemporal gene expression landscape of human embryonic development using stem-cell-derived organoids and identifies key developmental signatures and signaling pathways.

bioRxiv · Sep 2, 2022 · PreprintDevelopmental Biology

SpatialDM: Rapid identification of spatially co-expressed ligand-receptor reveals cell-cell communication patterns

Zhuoxuan LI, Tianjie Wang, Pengtao Liu, Yuanhua Huang

SpatialDM identifies spatially co-expressed ligand-receptor pairs and communication patterns in spatial transcriptomics data with high accuracy and scalability.

bioRxiv · Aug 19, 2022 · PreprintBioinformatics