OmicFormer: a statistical priors–informed transformer for accurate and generalizable omics prediction of diseases and complex traits
OmicFormer is a novel Transformer-based architecture that embeds statistical priors to capture complex biological dependencies, significantly outperforming existing methods in accuracy and generalizability across diverse disease prediction tasks and omics datasets.