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Exploring the application of deep learning methods for polygenic risk score estimation

2023-12-15

Abstract excerpt

<h4>Background</h4> Polygenic risk scores (PRS) summarise genetic information into a single number with multiple clinical and research uses. Machine learning (ML) has revolutionised a diverse set of fields, however, the impact of ML on genomics in general, and PRSs in particular, has been less significant. We explore how ML can improve the generation of PRSs. <h4>Methods</h4> We train ML models on known PRSs using...

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Literature Corpus work: e38238d0-77d0-58b7-844b-aee584122828
DOI: 10.1101/2023.12.14.23299972

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