Author

Ping‐Shou Zhong

University of Illinois ChicagoORCID 0000-0002-8568-3175Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Approach:statistical model· 1

Frequent Co-Authors

Shaoyu LiiD· 1 shared Tao He· 1 shared Yuehua CuiiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperGenetics

Shaoyu LiORCID

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1 paper

Recent·Most cited

An optimal kernel-based method for gene set association analysis

Tao He, Shaoyu Li, Ping‐Shou Zhong, Yuehua Cui

The paper introduces an efficient kernel-based method for gene set association analysis that controls type I error and achieves high power in high-dimensional settings.

Genetic Epidemiology · Nov 19, 2018Peer-reviewedGenetics