Deep Learning for genomic prediction accounting for heterosis in crossbreeding systems
Fatima Shokor, Pascal Croiseau, Hugo Gangloff, Sébastien Fritz, Alberto Martı́n, Tristan Mary‐Huard, Beatriz C. D. Cuyabano
This paper evaluates deep learning's ability to predict genetic values in crossbred populations by capturing heterosis, finding it improves performance when heterosis is present.
bioRxiv · Jul 24, 2025 · PreprintBioinformatics