Article

Multi-scale Inference of Genetic Trait Architecture using Biologically Annotated Neural Networks

2020-07-03

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 mode...

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Literature Corpus work: 7ca56bcf-0e19-5a33-a7d8-ee2a455a2e65
DOI: 10.1101/2020.07.02.184465

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