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首页|SEIR: a novel multi-locus GWAS method that provides higher statistical power for fast identifying variant-phenotype associations

SEIR: a novel multi-locus GWAS method that provides higher statistical power for fast identifying variant-phenotype associations

Xu Fang-jun Kuang Ren-zuo Hu Ming-yang Qiao Jia-kun Li Xin-yun Zhao Shu-hong Zhu Meng-jin Liu Xiao-lei Zhao Yun-xia Li Mi-lin Wang Dao-yuan Zhou Guang-liang

SEIR: a novel multi-locus GWAS method that provides higher statistical power for fast identifying variant-phenotype associations

Xu Fang-jun 1Kuang Ren-zuo 1Hu Ming-yang 1Qiao Jia-kun 1Li Xin-yun 2Zhao Shu-hong 2Zhu Meng-jin 2Liu Xiao-lei 2Zhao Yun-xia 1Li Mi-lin 1Wang Dao-yuan 1Zhou Guang-liang1

作者信息

  • 1. Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University
  • 2. Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University||The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University
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引用本文复制引用

Xu Fang-jun,Kuang Ren-zuo,Hu Ming-yang,Qiao Jia-kun,Li Xin-yun,Zhao Shu-hong,Zhu Meng-jin,Liu Xiao-lei,Zhao Yun-xia,Li Mi-lin,Wang Dao-yuan,Zhou Guang-liang.SEIR: a novel multi-locus GWAS method that provides higher statistical power for fast identifying variant-phenotype associations[EB/OL].(2025-03-28)[2025-12-13].https://www.biorxiv.org/content/10.1101/2024.05.23.595530.

学科分类

生物科学研究方法、生物科学研究技术/基础医学

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首发时间 2025-03-28
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