Author

Tianyi Liu

Jimei UniversityORCID 0000-0002-2624-7146Unclaimed ORCID profile · follow to get notified of new preprints

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Tianyi Liu2 papers · Columbia University Irving Medical Center

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Research Focus:imputation· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Dan Li JiangiD· 1 shared Guo‐Bo CheniD· 1 shared Hong-Shan Wu· 1 shared Jing-Cheng HeiD· 1 shared Lin-Lin Gu· 1 shared Ming FangiD· 1 shared Si Yi Li· 1 shared Wenmin ZhangiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Dan Li JiangORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedJan 4, 2025

Rapid and accurate multi-phenotype imputation for millions of individuals

Lin-Lin Gu, Hong-Shan Wu, Tianyi Liu…·Ming Fang

The paper introduces PIXANT, a multi-phenotype imputation method that improves GWAS power by imputing 425 phenotypes for 277,301 individuals, leading to the discovery of 18.4% more GWAS loci.

11 citationstop 3%

humanGWAS summary statistics

𝕏 PostBluesky

BioinformaticsPLoS ONEPeer-reviewedAug 20, 2020

Partitioning gene-based variance of complex traits by gene score regression

Wenmin Zhang, Si Yi Li, Tianyi Liu, Yue Li

This paper introduces Gene Score Regression (GSR), a method to partition gene-based variance of complex traits by accounting for gene-to-gene correlations, improving the accuracy of GWAS annotation.

3 citations

humanGWAS summary statistics

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