Author

Yunpei Xu

Central South University

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· 4

Signature Assays, Organisms & Methods

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Research Focus:clustering· 4 Approach:statistical model· 4 Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Assay:scRNA-seq· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Organism:human· 2

Frequent Co-Authors

Jianxin WangiD· 4 shared Hong‐Dong LiiD· 3 shared Shaokai WangiD· 3 shared Qilong FengiD· 2 shared Yaohang LiiD· 2 shared Gilbert S. OmenniD· 1 shared Jinhui XuiD· 1 shared Kai ZhengiD· 1 shared

Activity by Year

2020-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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4 shared papersBioinformatics

Jianxin WangORCID

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4 papers

Recent·Most cited

TopoLa: A Universal Framework to Enhance Cell Representations for Single-cell and Spatial Omics through Topology-encoded Latent Hyperbolic Geometry

Kai Zheng, Shaokai Wang, Yunpei Xu, Qiming Lei, Qichang Zhao, Xiao Peng Liang, Qilong Feng, Yaohang Li, Min Li, Jinhui Xu, Jianxin Wang

TopoLa enhances cell representations in single-cell and spatial omics by using topology-encoded latent hyperbolic geometry, improving performance across multiple tasks.

bioRxiv · Jul 23, 2025 · PreprintBioinformatics

Inference and visualization of multi-scale cell tree for decoding functional diversity with scMustree

Yunpei Xu, Shaokai Wang, Liqing Ding, Hong‐Dong Li, Jianxin Wang

The paper introduces scMustree, a tree-construction algorithm that improves clustering accuracy and reveals functional associations among cell populations in scRNA-seq data.

bioRxiv · Apr 22, 2025 · PreprintBioinformatics

Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression data

Yunpei Xu, Shaokai Wang, Hong‐Dong Li, Qilong Feng, Yaohang Li, Jianxin Wang

This paper introduces scCAD, a method for identifying rare cell types in scRNA-seq data by iteratively decomposing clusters, and shows it outperforms existing methods across multiple datasets.

bioRxiv · Feb 25, 2024 · PreprintBioinformatics

ClusterMine: a Knowledge-integrated Clustering Approach based on Expression Profiles of Gene Sets

Hong‐Dong Li, Yunpei Xu, Xiaoshu Zhu, Quan Liu, Gilbert S. Omenn, Jianxin Wang

ClusterMine integrates biological knowledge to cluster samples based on gene set expression profiles, improving interpretability of clusters.

Journal of Bioinformatics and Computational Biology · Jun 1, 2020Peer-reviewedBioinformatics