<ul><li>OmniCellTOSG is the first dataset of cell text-omic signaling graphs (TOSGs), which represents the signaling network of individual or meta-cells and is labeled with information such as organ, disease, sex, age, and cell subtype.</li><li>The dataset integrates human-readable annotations and quantitative gene and protein abundance data, enabling graph reasoning to decode cell signaling.</li><li>It is built from single-cell RNA sequencing data of approximately 120 million cells from diverse tissues and conditions, and is compatible with PyTorch.</li><li>The OmniCellTOSG dataset has the potential to transform research in life sciences, healthcare, and precision medicine.</li></ul>

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

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