OmicFormer: a statistical priors–informed transformer for accurate and generalizable omics prediction of diseases and complex traits

Abstract

Precision medicine faces a critical challenge in translating high-dimensional omics data into robust disease predictions across diverse populations. Current approaches often fail under distribution shifts, partly due to their inability to encode complex biological feature dependencies.

The paper