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首页|期刊导航|畜牧与生物技术杂志(英文版)|Incorporating kernelized multi-omics data improves the accuracy of genomic prediction

Incorporating kernelized multi-omics data improves the accuracy of genomic prediction

Mang Liang Lupei Zhang Xue Gao Junya Li Huijiang Gao Bingxing An Tianpeng Chang Tianyu Deng Lili Du Keanning Li Sheng Cao Yueying Du Lingyang Xu

畜牧与生物技术杂志(英文版)2023,Vol.14Issue(1):88-97,10.
畜牧与生物技术杂志(英文版)2023,Vol.14Issue(1):88-97,10.

Incorporating kernelized multi-omics data improves the accuracy of genomic prediction

Incorporating kernelized multi-omics data improves the accuracy of genomic prediction

Mang Liang 1Lupei Zhang 1Xue Gao 1Junya Li 1Huijiang Gao 1Bingxing An 1Tianpeng Chang 1Tianyu Deng 1Lili Du 1Keanning Li 1Sheng Cao 1Yueying Du 1Lingyang Xu1

作者信息

  • 1. Laboratory of Molecular Biology and Bovine Breeding,Institute of Animal Sciences,Chinese Academy of Agricultural Sciences,Beijing 100193,People's Republic of China
  • 折叠

摘要

关键词

BLUP/Cosine kernel/Genomic prediction/Transcriptome

Key words

BLUP/Cosine kernel/Genomic prediction/Transcriptome

引用本文复制引用

Mang Liang,Lupei Zhang,Xue Gao,Junya Li,Huijiang Gao,Bingxing An,Tianpeng Chang,Tianyu Deng,Lili Du,Keanning Li,Sheng Cao,Yueying Du,Lingyang Xu..Incorporating kernelized multi-omics data improves the accuracy of genomic prediction[J].畜牧与生物技术杂志(英文版),2023,14(1):88-97,10.

基金项目

This work was supported by funds from the National Natural Science Founda-tions of China(32172693)and the Program of National Beef Cattle and Yak Industrial Technology System(CARS-37).China Agriculture Research System of MOF and MARA supported statistical analysis and writing of the paper. (32172693)

畜牧与生物技术杂志(英文版)

OACSCDCSTPCD

1674-9782

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