Author

Zexuan Wang

University of PennsylvaniaORCID 0009-0001-2635-7767Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:batch correction / integration· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:optimal transport· 1

Frequent Co-Authors

Li SheniD· 2 shared Qipeng ZhaniD· 2 shared Zhuoping ZhouiD· 2 shared Mengyuan KaniD· 1 shared Shu YangiD· 1 shared Tianhuan Zhai· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Li ShenORCID

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2 papers

Recent·Most cited

BioinformaticsACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)Peer-reviewedJun 30, 2026

Faithful Supervised Dimensionality Reduction for Biomedical Data via Decision Geometry

Zexuan Wang, Zhuoping Zhou, Qipeng Zhan, Li Shen

The paper introduces DG-UMAP, a supervised dimensionality reduction method that improves class structure preservation in biomedical data while maintaining local geometry.

DOI 10.1145/3807503.3819496

bulk RNA-seqdeep learning

𝕏 PostBluesky

BioinformaticsGigaSciencePeer-reviewedJan 1, 2026

GROTIA: An Interpretable Graph-Regularized Optimal TransportFramework for Diagonal Single-Cell IntegrativeAnalysis

Zexuan Wang, Qipeng Zhan, Shu Yang…·Li Shen

GROTIA aligns multi-omics single-cell datasets using optimal transport and graph regularization, identifying key biological markers and enabling novel subpopulation discovery.

1 citation

scRNA-seqoptimal transport

𝕏 PostBluesky