GViT-GP: injecting the genomic relationship matrix as an inductive bias into a vision transformer via cross-attention for genomic prediction

IntroductionGenomic Prediction (GP) faces significant challenges in balancing model complexity with computational efficiency, particularly for high-dimensional genomic data under limited sample sizes.MethodsWe propose GViT-GP, a Vision Transformer architecture that injects the Genomic Relationship M...

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Detalhes bibliográficos

Principais autores:	Jingxuan Li, Wei Luo, Honghao Yu, Xishi Huang, Jisi Ma, Shijun Li, Yong Li, Lantao Gu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-03-01
coleção:	Frontiers in Genetics
Assuntos:	cross-attention deep learning genomic prediction genomic relationship matrix (GRM) genomic selection inductive bias
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fgene.2026.1758565/full
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