Article

PRS-Net: Interpretable polygenic risk scores via geometric learning

2024-02-15

Abstract excerpt

Polygenic risk score (PRS) serves as a valuable tool for predicting the genetic risk of complex human diseases for individuals, playing a pivotal role in advancing precision medicine. Traditional PRS methods, predominantly following a linear structure, often fall short in capturing the intricate relationships between genotype and phenotype. We present PRS-Net, an interpretable deep learning-based framework designe...

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Literature Corpus work: d7d3a838-de41-5a65-8702-2169e10717e6
DOI: 10.1101/2024.02.13.580211

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