Article
Multi-scale inference of genetic trait architecture using biologically annotated neural networks.
PLoS genetics - 1 Aug 2021
Demetci Pinar, Cheng Wei, Darnell Gregory, Zhou Xiang, Ramachandran Sohini, Crawford Lorin
Abstract excerpt
In this article, we present Biologically Annotated Neural Networks (BANNs), a nonlinear probabilistic framework for association mapping in genome-wide association (GWA) studies. BANNs are feedforward models with partially connected architectures that are based on biological annotations. This setup yields a fully interpretable neural network where the input layer encodes SNP-level effects, and the hidden layer...
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