Modeling cancer dependency with deep graph models
Hengyi Fu, Bojin Zhao, Peng Wang
The paper introduces a deep learning framework called DepGPS to model tumor vulnerabilities using graph neural networks and transformers, showing improved prediction of context-specific vulnerabilities and utility in identifying synthetic lethal genes.
bioRxiv · Feb 26, 2024 · PreprintBioinformatics