Author

Zeqi Yao

Sun Yat-sen 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· 1 Developmental Biology· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:C. elegans· 1 Research Focus:database / resource· 1 Organism:Drosophila· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Xionglei HeiD· 3 shared shanjun dengiD· 2 shared Chung-I Wu· 1 shared Da ZhouiD· 1 shared Jian‐Rong YangiD· 1 shared Jianguo WangiD· 1 shared Kehui LiuiD· 1 shared Kun WangiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersBioinformatics

Xionglei HeORCID

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Author profile →

3 papers

Recent·Most cited

Single-cell phylodynamic inference of tissue development and tumor evolution with scPhyloX

Kun Wang, Zhaolian Lu, Zeqi Yao, Xionglei He, Zheng Hu, Da Zhou

scPhyloX infers tissue development and tumor evolution dynamics using single-cell phylogenetic trees, revealing novel insights into stem cell overshoot, hematopoietic progenitor clonal expansion, and colorectal tumor subclonal selection.

bioRxiv · May 15, 2024 · PreprintBioinformatics

Discovery of Waddington's developmental canals elucidates the embryogenesis stability in Caenorhabditis elegans

Jianguo Wang, Long Xiao, Zeqi Yao, shanjun deng, Jian‐Rong Yang, Chung-I Wu, Zhuo Du, Xionglei He

This study identifies and quantifies developmental canals in C. elegans embryogenesis that suppress noise and stabilize development, revealing how cell-level stochasticity affects phenotypic outcomes.

bioRxiv · Dec 30, 2023 · PreprintDevelopmental Biology

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