Interaction-based feature selection algorithm outperforms polygenic risk score in predicting Parkinson's Disease status
Jörn Klinger, Charles N. J. Ravarani, Hannes A. Baukmann, Justin L. Cope, Erwin P. Böttinger, Stefan Konigorski, Marco Florian Schmidt
The paper presents an interaction-based feature selection algorithm that outperforms polygenic risk scores in predicting Parkinson's Disease status using the PPMI dataset.
Frontiers in Genetics · Oct 20, 2021Peer-reviewedGenetic & Genomic Medicine