AINeutralarXiv – CS AI · 7h ago5/10
🧠
A Linear-Transformer Hybrid for SNP-Based Genotype-to-Phenotype Prediction in Grapevine
Researchers developed LiT-G2P, a hybrid machine learning model combining linear genetic effects with Transformer-based neural networks to predict plant traits from DNA sequences in grapevines. The approach achieved superior prediction accuracy for leaf and trichome density across multiple years, demonstrating practical applications for genomic selection in agricultural breeding.