Article

Policy gradient-guided ensemble learning for enhanced polygenic risk prediction in ultra-high-dimensional genomics

2025-09-25

Abstract excerpt

Polygenic diseases challenge genetic risk prediction due to extreme dimensionality, low per-variant effect sizes, and non-additive interactions. Conventional marginal P -value-based methods potentially overlook subtle signals and complex dependencies, while inefficient random sampling in ensembles misses sparse signals. We introduce ELAG, an ensemble learning framework that advances feature bagging by reformulatin...

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Literature Corpus work: 81e88964-9ec6-5a2e-aef8-5a13fb5c9867
DOI: 10.1101/2025.09.23.25336425

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