Deep learning for polygenic prediction: The role of heritability, interaction type and sample size
Jason Grealey, Gad Abraham, Guillaume Méric, Rodrigo Cánovas, Martin Kelemen, Shu Mei Teo, Agus Salim, Michael Inouye, Yu Xu
This study evaluates deep learning methods for polygenic prediction, showing that MLP benefits most from larger sample sizes and one-hot encoding improves performance across methods.
medRxiv · Oct 25, 2024 · PreprintGenetic & Genomic Medicine