Author

Peng Ye

Shanghai Artificial Intelligence LaboratoryORCID 0000-0002-8486-7562Unclaimed ORCID profile · follow to get notified of new preprints

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Peng Ye2 papers · Shanghai Artificial Intelligence Laboratory

Biology Disciplines

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Genetics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1

Frequent Co-Authors

Chao ZhongiD· 1 shared Erping LongiD· 1 shared Faming Chen· 1 shared Fanyi MengiD· 1 shared Fulong YuiD· 1 shared Jiaheng He· 1 shared Jingxuan Wang· 1 shared Lei BaiiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperImmunology

Chao ZhongORCID

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2 papers

Recent·Most cited

Scaling genetic discovery through automated post-GWAS interpretation

Libo Qiao, Shuang Gu, Ye Yang, Yingnan Han, Xuanzhao Li, Xing Wan, Xiwen Zhang, Qinhao Zhang, Tingting Hu, Yan Zhang, Faming Chen, Jiaheng He, Jingxuan Wang, Zhenyu Tang, Peng Ye, , Fulong Yu

This paper introduces PGI, a system that automates post-GWAS interpretation, achieving high recovery of findings and enabling cross-study biological evidence accumulation.

bioRxiv · Oct 27, 2026 · PreprintGenetics

Disease-associated NK-cell state remodeling reveals transcriptional profiles predictive of clinical phenotypes

Fanyi Meng, Peiran Lin, Shunjie Zhang, Tianhao Li, Zili Liu, Peng Ye, Chao Zhong, Yuan Zhou

The paper establishes the Human NK-cell Atlas and identifies disease-specific NK-cell state remodeling, developing a model to predict clinical phenotypes.

bioRxiv · Oct 27, 2026 · PreprintImmunology