Author

Leying Wang

BGI Group (China)ORCID 0000-0001-9112-1219Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 3 Research Focus:clustering· 2 Approach:experimental assay· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Ao CheniD· 3 shared Mei LiiD· 3 shared Shengkang LiiD· 3 shared Shuangsang FangiD· 3 shared Xun XuiD· 3 shared Yong ZhangiD· 3 shared Yuxiang LiiD· 3 shared Qiang KangiD· 2 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Ao ChenORCID

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4 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedApr 21, 2025

Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics

Shuangsang Fang, Mengyang Xu, Lei Cao…·Xun Xu

Stereopy provides a framework for analyzing multi-sample spatial transcriptomics data to model comparative and spatiotemporal cellular heterogeneity through three key algorithms.

68 citationstop 1%

spatial transcriptomicsstatistical model

𝕏 PostBluesky

NeuroscienceActa Biochimica et Biophysica SinicaPeer-reviewedNov 21, 2024

High-resolution imaging atlas reveals context-dependent role of pancreatic sympathetic innervation in diabetic mice

Qingqing Xu, Yuxin Chen, Xinyan Ni…·Wei L. Shen

The paper uses high-resolution imaging to study sympathetic innervation in pancreatic islets of diabetic mice, finding context-dependent effects on glucose regulation.

3 citations

mouseimaging

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BioinformaticsGigabytePeer-reviewedFeb 19, 2024

SAW: An efficient and accurate data analysis workflow for Stereo-seq spatial transcriptomics

Chun Gong, Shengkang Li, Leying Wang…·Xun Xu

SAW improves the efficiency and accuracy of Stereo-Seq spatial transcriptomics analysis by optimizing key steps and reducing runtime.

76 citationstop 1%

spatial transcriptomicsexperimental assay

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BioinformaticsbioRxivPreprintFeb 28, 2023

CellBin: a highly accurate single-cell gene expression processing pipeline for high-resolution spatial transcriptomics

Mei Li, Huanlin Liu, Qiang Kang…·Yuxiang Li

CellBin processes high-resolution spatial transcriptomics data to generate accurate single-cell gene expression profiles, improving accuracy and efficiency in mouse brain tissue analysis.

24 citations

mousespatial transcriptomics

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