Author

Yun Li

University of North Carolina at Chapel HillORCID 0000-0002-5982-9265Unclaimed ORCID profile · follow to get notified of new preprints

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Yun Li10 papers · University of North Carolina at Chapel Hill

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Organism:mouse· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Boxiang LiuiD· 1 shared Chenwei TangiD· 1 shared Di WuiD· 1 shared Eric Van BureniD· 1 shared Fei Liu· 1 shared Gang Li· 1 shared Jia WeniD· 1 shared Jinying ZhaoiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenomics

Boxiang LiuORCID

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2 papers

Recent·Most cited

Cell-type specific inference from bulk RNA-sequencing data by integrating single cell reference profiles via EPIC-unmix

Chenwei Tang, Quan Sun, Xinyue Zeng, Gang Li, Xiaoyu Yang, Fei Liu, Jinying Zhao, Yin Shen, Boxiang Liu, Jia Wen, Yun Li

EPIC-unmix improves cell-type specific analysis from bulk RNA-seq by integrating single-cell reference profiles, identifying novel genes and eQTLs in Alzheimer's disease.

Genome biology · Nov 20, 2025Peer-reviewedGenomics

TWO-SIGMA-G: A New Competitive Gene Set Testing Framework for scRNA-seq Data Accounting for Inter-Gene and Cell-Cell Correlation

Eric Van Buren, Ming Hu, Liang Cheng, John A. Wrobel, Kirk C. Wilhelmsen, Lishan Su, Yun Li, Di Wu

TWO-SIGMA-G tests gene sets in scRNA-seq data by accounting for gene and cell correlations, showing improved power and error control in simulations and real datasets.

Briefings in Bioinformatics · Feb 20, 2022Peer-reviewedGenomics