Article

Performance of deep-learning based approaches to improve polygenic scores

2024-10-23

Abstract excerpt

<h4>Background/Objectives</h4> Polygenic scores (PGS), which estimate an individual’s genetic propensity for a disease or trait, have the potential to become part of genomic healthcare. In maximising the predictive performance of PGS, neural-network (NN) based deep learning has emerged as a method of intense interest to model complex, nonlinear phenomena, which may be adapted to exploit gene-gene (G x G) and gene-...

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Literature Corpus work: 55df4f63-ce08-5f2f-a3d9-28c9ba633957
DOI: 10.1101/2024.10.23.24315973

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