Efficient large-scale genomic prediction in approximate genome-based kernel model
文献类型：期刊论文
| 作者 | Liu, Hailan; Xu, Jinqing; Wang, Xuesong; Wang, Handong; Wang, Lei; Shen, Yuhu |
| 刊名 | THEORETICAL AND APPLIED GENETICS
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| 出版日期 | 2025 |
| 卷号 | 138期号:1 |
| 英文摘要 | Key message Three computationally efficient algorithms of GP including RHBK, RHDK, and RHPK were developed in approximate genome-based kernel model.AbstractThe drastically growing amount of genomic information contributes to increasing computational burden of genomic prediction (GP). In this study, we developed three computationally efficient algorithms of GP including RHBK, RHDK, and RHPK in approximate genome-based kernel model, which reduces dimension of genomic data via Nystr & ouml;m approximation and decreases the computational cost significantly thereby. According to the simulation study and real datasets, our three methods demonstrated predictive accuracy similar to or better than RHAPY, GBLUP, and rrBLUP in most cases. They also demonstrated a substantial reduction in computational time compared to GBLUP and rrBLUP in simulation. Due to their advanced computing efficiency, our three methods can be used in a wide range of application scenarios in the future. |
| 源URL | [http://210.75.249.4/handle/363003/62571]  |
| 专题 | 西北高原生物研究所_中国科学院西北高原生物研究所 |
| 推荐引用方式 GB/T 7714 | Liu, Hailan,Xu, Jinqing,Wang, Xuesong,et al. Efficient large-scale genomic prediction in approximate genome-based kernel model[J]. THEORETICAL AND APPLIED GENETICS,2025,138(1). |
| APA | Liu, Hailan,Xu, Jinqing,Wang, Xuesong,Wang, Handong,Wang, Lei,&Shen, Yuhu.(2025).Efficient large-scale genomic prediction in approximate genome-based kernel model.THEORETICAL AND APPLIED GENETICS,138(1). |
| MLA | Liu, Hailan,et al."Efficient large-scale genomic prediction in approximate genome-based kernel model".THEORETICAL AND APPLIED GENETICS 138.1(2025). |
入库方式： OAI收割
来源：西北高原生物研究所
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