Article
ReaGP: integrating residual units and attention mechanisms in convolution neural network for genomic prediction.
Genetics, selection, evolution : GSE - 13 Jan 2026
Li Jing, Guo Peng, Zhang Yuanxu, Ma Haoran, Zhao Zhida, Wang Yuanqing, Wang Zezhao, Chen Yan, Xu Lingyang, Zhang Lupei, Gao Huijiang, Gao Xue, Li Junya, Zhu Bo
Abstract excerpt
BACKGROUND: Various methods have been widely utilized to estimate the genomic breeding values (GEBVs) for genomic prediction. Traditional approaches often relied on the assumption of linear regression models, which struggle to effectively capture the nonlinear relationships between limited phenotypic data and high-dimensional genotypic data. Deep learning (DL) provided a powerful solution for addressing nonlinear...
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