Article

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

2026-08-04

Abstract excerpt

<title>Abstract</title> <p>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. We present OmicFormer, a Transformer-based architecture that embeds two complementary statistical prio...

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Literature Corpus work: c2a2c336-8133-5743-a318-a16867321aac
DOI: 10.21203/rs.3.rs-10495274/v1

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