Prior knowledge informs graph neural networks to improve phenotype prediction from proteomics
Prabuddha Ghosh Dastidar, Gus Fridell, Joshua M Popp, Marios Arvanitis, Alexis J. Battle
The paper develops a graph neural network framework that integrates biological knowledge to predict phenotypes from proteomics data, outperforming linear models and other architectures.
medRxiv · Nov 23, 2025 · PreprintGenetic & Genomic Medicine