Article

GenNet framework: interpretable neural networks for phenotype prediction

2020-06-20

Abstract excerpt

Deep learning is rarely used in population genomics because of the computational burden and challenges in interpreting neural networks. Here, we propose GenNet, a novel open-source deep learning framework for predicting phenotypes from genetic variants. In this framework, interpretable and memory-efficient neural network architectures are constructed by embedding biological knowledge from public databases, resulti...

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Literature Corpus work: 4b6e3dbe-f833-5280-ae80-afaaacc0cc02
DOI: 10.1101/2020.06.19.159152

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