Gsformer: a dual-architecture deep learning framework with CNN-self-attention and sparse-attention for genomic selection.

Abstract excerpt

BACKGROUND: Genomic selection (GS) has revolutionized modern breeding by utilizing genome-wide single nucleotide polymorphisms (SNPs). While traditional models such as GBLUP and Bayesian approaches remain prevalent, several deep learning approaches have recently been introduced for plant GS, demonstrating superior predictive performance. Here, we introduce Gsformer, a novel deep learning framework designed to...

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