Author

Kehui Liu

Sun Yat-sen UniversityORCID 0000-0001-8164-784XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Organism:C. elegans· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Xionglei HeiD· 2 shared Chenze Ren· 1 shared Feng Chen· 1 shared Jiajun ZhangiD· 1 shared Jianrong YangiD· 1 shared Jingyu CheniD· 1 shared Peng WuiD· 1 shared Shanjun DengiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Xionglei HeORCID

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2 papers

Recent·Most cited

PASTRI: Resolving Stage-Specific Cell-State Dynamics from Annotated Cell Lineage Trees

Wenjing Yang, Zizhang Li, Xiaochen Yu, Peng Wu, Xiaoyu Zhang, Chenze Ren, Kehui Liu, Jingyu Chen, Feng Chen, Xionglei He, Jiajun Zhang, Xiaoshu Chen, Jianrong Yang

PASTRI infers stage-specific cell-state transition rates from annotated cell lineages, revealing rate-limiting steps and attractor states in development and disease.

bioRxiv · Aug 20, 2026 · PreprintBioinformatics

A novel coalescent method insensitive to population structure

Zeqi Yao, Kehui Liu, Shanjun Deng, Xionglei He

This paper introduces a coalescent method, i-coalescent analysis, that is insensitive to population structure and demonstrates its ability to accurately reconstruct population size dynamics in structured populations.

Journal of genetics and genomics/Journal of Genetics and Genomics · Mar 1, 2021Peer-reviewedGenetics