Article

Interaction-based feature selection algorithm outperforms polygenic risk score in predicting Parkinson’s Disease status

2021-07-23

Abstract excerpt

Polygenic risk scores (PRS) aggregating results from genome-wide association studies are state of the art to predict the susceptibility to complex traits or diseases. Novel machine learning algorithms that use large amounts of data promise to find gene-gene interactions in order to build models with better predictive performance than PRS. Here, we present a data preprocessing step by using data-mining of contextua...

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Literature Corpus work: 4b64d36e-4f79-5284-b958-3231ff608bd4
DOI: 10.1101/2021.07.20.21260848

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