Author

Jin Gao

Chinese Academy of Fishery SciencesORCID 0000-0003-3199-6632Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Approach:mixed model· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Runqing YangiD· 2 shared Yuxin SongiD· 2 shared Zhiyu Hao· 2 shared Di LiuiD· 1 shared Pao XuiD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 9 mutual co-author links

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2 shared papersBioinformatics

Runqing YangORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 10, 2021

Efficient Genomic Control for Mixed Model Associationsin Large-scale Population

Zhiyu Hao, Jin Gao, Yuxin Song…·Di Liu

Optim-GRAMMAR improves statistical power of mixed model associations by efficiently controlling for population structure with reduced markers.

DOI 10.1101/2021.03.10.434745

whole-genome sequencingstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 10, 2021

GRAMMAR-Lambda: An Extreme Simplification for Genome-wide Mixed Model Association Analysis

Runqing Yang, Jin Gao, Yuxin Song…·Pao Xu

GRAMMAR-Lambda simplifies genome-wide association analysis by using a small number of markers to estimate polygenic effects, achieving high statistical power with reduced computational complexity.

1 citation

whole-genome sequencingstatistical model

𝕏 PostBluesky