Causality-aware graph neural networks for functional stratification and phenotype prediction at scale

Abstract We employ a computational framework that integrates mathematical programming and Graph Neural Networks (GNNs) to elucidate functional phenotypic heterogeneity in disease by classifying entire pathways under various conditions of interest. Our approach combines two distinct, yet seamlessly i...

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Bibliographic Details
Main Authors: Charalampos P. Triantafyllidis, Ricardo Aguas
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:npj Systems Biology and Applications
Online Access:https://doi.org/10.1038/s41540-025-00567-1
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