Author

Shuxiao Chen

University of PennsylvaniaORCID 0000-0001-9028-1624Unclaimed 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 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Research Focus:database / resource· 2 Research Focus:dimensionality reduction· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

Bokai ZhuiD· 3 shared Garry P. NolaniD· 3 shared Zongming MaiD· 3 shared Guanrui Liao· 2 shared Sizun JiangiD· 2 shared Yunhao BaiiD· 2 shared Alex K. ShalekiD· 1 shared Alexandar TzankoviD· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersBioinformatics

Bokai ZhuORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 12, 2024

Cross-domain information fusion for enhanced cell population delineation in single-cell spatial-omics data

Bokai Zhu, Sheng Gao, Shuxiao Chen…·Zongming Ma

This paper introduces CellSNAP, a self-supervised method that integrates spatial, transcriptomic, and proteomic data to improve cell population delineation in spatial-omics datasets.

2 citations

spatial transcriptomicsdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 12, 2023

Integration of spatial and single-cell data across modalities with weak linkage

Shuxiao Chen, Bokai Zhu, Sijia Huang…·Zongming Ma

The paper introduces MaxFuse, a method for integrating spatial and single-cell omics data with weak linkage, demonstrating its effectiveness in consolidating proteomic, transcriptomic, and epigenomic information.

7 citations

spatial transcriptomicsscRNA-seq

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BioinformaticsNature MethodsPeer-reviewedJan 9, 2023

Robust Single-cell Matching and Multi-modalAnalysis Using Shared and Distinct FeaturesReveals Orchestrated Immune Responses

Bokai Zhu, Shuxiao Chen, Yunhao Bai…·Sizun Jiang

The paper introduces MARIO, a cell matching algorithm that integrates single-cell proteomic and multi-modal data, revealing orchestrated immune responses in lung tissue.

53 citationstop 4%

humanCITE-seq

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