Discovering Biomarker Proteins and Peptides for Parkinson's Disease Prognosis Prediction with Machine Learning and Interpretability Methods
Ho-min Park, Espoir K. Kabanga, Dongin Moon, Minjae Chung, Jiwon Im, Yujin Kim, Arnout Van Messem, Wesley De Neve
This study develops a machine learning pipeline to predict Parkinson's disease severity using CSF-MS data and identifies potential biomarkers.
bioRxiv · May 18, 2023 · PreprintBioinformatics