This groundbreaking research introduces OmniCellTOSG, the first comprehensive dataset that combines text data and cell signaling networks to enable joint Large Language Model and Graph Neural Network modeling of complex biological systems.

• Creates a unified framework for integrating biological text knowledge with network analysis
• Enables AI-powered decoding of complex cellular signaling systems across organs and conditions
• Establishes a foundation for multi-modal biological AI that can interpret tens of thousands of gene and protein interactions
• Provides new opportunities for disease understanding through computational analysis of cellular networks

This research represents a significant step toward developing AI systems that can comprehend and model the intricate biological processes driving cellular diversity and disease mechanisms.

OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Joint LLM and GNN Modeling