Article

OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Graph Language Foundation Modeling

2026-02-17

Abstract excerpt

<title>Abstract</title> <p>With the rapid growth of large-scale single-cell omic datasets, omic foundation models (FMs) have emerged as powerful tools for advancing research in life sciences and precision medicine. However, most existing omic FMs rely primarily on numerical transcriptomic data by sorting genes as sequences, while lacking explicit integration of biomedical prior knowledge and signaling interaction...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4d15ddf0-1a56-56a2-b5da-cdaacd46b899
DOI: 10.21203/rs.3.rs-8774770/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Graph Language Foundation ModelingDOI 10.21203/rs.3.rs-8774770/v1Read

CellTosg2Sequence: A Unified Text-Omics-Signaling-Graph Large Language Model for Single-Cell AnalysisSemantic proximity Read

BioMedGraphica: An All-in-One Platform for Joint Textual Biomedical Prior Knowledge and Numeric Graph GenerationSemantic proximity Read

mosGraphGen: a novel tool to generate multi-omics signaling graphs to facilitate integrative and interpretable graph AI model developmentSemantic proximity Read

Systematic tissue annotations of –omics samples by modeling unstructured metadataSemantic proximity Read

A multitask single-cell analysis framework with knowledge graph as a priorSemantic proximity Read

Multi-omics integration and regulatory inference for unpaired single-cell data with a graph-linked unified embedding frameworkSemantic proximity Read

Language may be all omics needs: Harmonizing multimodal data for omics understanding with CellHermesSemantic proximity Read

CZ CELL×GENE Discover: A single-cell data platform for scalable exploration, analysis and modeling of aggregated dataSemantic proximity Read

scRepresenter: a workflow for computing, integrating and benchmarking cellular representations in single-cell transcriptomicsSemantic proximity Read

Robust integration of weakly anchored spatial multi-omicsSemantic proximity Read

Cell-Graph Compass: Modeling Single Cells with Graph Structure Foundation ModelSemantic proximity Read

CellAwareGNN: Single-Cell Enhanced Knowledge Graph Foundation Model for Drug Indication PredictionSemantic proximity Read