Article
Enhancing genomic prediction accuracy in Huaxi cattle through integration of transcriptomic data and a self-attention-based SNP selection strategy.
BMC bioinformatics - 18 Apr 2026
Qian Li, Du Lili, Liang Mang, Li Keanning, Wang Jinbu, Qiu Shiyuan, Mao Meng, Zhang Lupei, Gao Xue, Xu Lingyang, Zheng Caihong, Zhu Bo, Chen Yan, Wang Zezhao, Li Junya, Gao Huijiang
Abstract excerpt
BACKGROUND: Integrative use of multi-omics data can enhance genomic prediction, yet its application remains challenged by the high cost, temporal specificity, and instability of transcriptomic signals across developmental stages. To address these limitations, it is crucial to utilize small, high-quality multi-omics datasets to efficiently identify stable, major-effect SNPs that can be applied to larger...
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