Article

An interpretable omnigenic neural network architecture for the human genome

2026-07-30

Abstract excerpt

Genetic prediction of complex phenotypes typically relies on additive linear models, which scale well but cannot capture non-additive effects or deeply integrate molecular and clinical data. Domain-specific neural networks have driven advances in images, text, and other modalities, but genome-scale neural networks remain challenging because genotypes are sparse and high-dimensional, effective sample sizes are limi...

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Literature Corpus work: 40c21712-c99d-54d5-b9f9-81adde75c53b
DOI: 10.64898/2026.07.28.26359187

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