Partially connected neural networks for complex trait prediction: application to human height.

Abstract excerpt

Polygenic risk scores (PRS) are fundamental tools for complex trait prediction, yet conventional methods often struggle to capture non-linear genetic interactions and ancestry-specific genetic architectures. Here, we propose a chromosome-aware, partially connected neural network (PCNN) that models localized genetic contributions and non-linear interactions across the genome. Through simulations with varying...

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