M3NetFlow: A multi-scale multi-hop graph AI model for integrative multi-omic data analysis.

ABSTRACT: Multi-omic data-driven studies are at the forefront of precision medicine by characterizing complex disease signaling systems across multiple views and levels. The integration and interpretation of multi-omic data are critical for identifying disease targets and deciphering disease signaling pathways. However, it remains an open problem due to the complex signaling interactions among many proteins. Herein, we propose a multi-scale multi-hop multi-omic network flow model, M3NetFlow, to facilitate both hypothesis-guided and generic multi-omic data analysis tasks. We evaluated M3NetFlow using two independent case studies: (1) uncovering mechanisms of synergy of drug combinations (hypothesis/anchor-target guided multi-omic analysis) and (2) identifying biomarkers of Alzheimer's disease (generi

SUBMITTER: Zhang H 

PROVIDER: S-EPMC11872513 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature