Author

Zeyu Jiao

Shanghai Medical College of Fudan UniversityORCID 0000-0002-8012-7663Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 3 Organism:human· 2 Assay:proteomics· 2 Assay:imaging· 1

Frequent Co-Authors

Jujiao KangiD· 3 shared Yinglei LaiiD· 3 shared Jianfeng FengiD· 2 shared Wei ZhaoiD· 2 shared Yixin Zhang· 2 shared Andreas HeinziD· 1 shared Chao Xie· 1 shared Fengzhu SuniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersBioinformatics

Jujiao KangORCID

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Author profile →

3 papers

Recent·Most cited

KDRD: assessing discovery replicability based on summary association statistics from a single study

Zeyu Jiao, Yixin Zhang, Jujiao Kang, Liang Ma, Yawen Yang, Wei Zhao, Jianfeng Feng, Yinglei Lai

KDRD estimates replicability of associations using summary statistics from a single study, showing moderate to high replicability for 33 of 45 brain-related traits in proteomics analyses.

bioRxiv · Nov 4, 2026 · PreprintBioinformatics

Merits and challenges of plasma proteomics on association replicability

Zeyu Jiao, Yixin Zhang, Yinglei Lai, Jujiao Kang, Liang Ma, Wei Zhao, Jia You, Wei Cheng, Jianfeng Feng

The paper assesses the replicability of plasma proteomics associations with phenotypes using UK Biobank data, finding high replicability for cognitive and mental health traits and developing a framework to predict replicability in future panels.

bioRxiv · Sep 1, 2025 · PreprintBioinformatics

Assessing Overall Reproducibility for Large-scale High-throughput MRI-based Association Studies

Zeyu Jiao, Yinglei Lai, Jujiao Kang, Weikang Gong, Liang Ma, Tianye Jia, Chao Xie, Wei Cheng, Andreas Heinz, Sylvane Desrivières, Günter Schumann, Fengzhu Sun, Jianfeng Feng

This study introduces an overall reproducibility index for MRI-based association studies and evaluates its performance across multiple datasets, showing that sample size and experimental factors influence reproducibility.

bioRxiv · Aug 18, 2020 · PreprintNeuroscience