CellChat
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell transcriptomics data.
What is CellChat?
CellChat is an R package for inference, visualization, and analysis of cell-cell communication from single-cell transcriptomics data. It helps researchers systematically identify and interpret intercellular signaling networks using a curated database of ligand-receptor interactions. The tool provides quantitative analysis and intuitive visualizations to uncover how cells communicate in biological systems.
Bioinformaticians, computational biologists, and researchers working with single-cell RNA sequencing data who need to analyze cell-cell communication networks in tissues or developmental systems.
Researchers choose CellChat for its comprehensive curated database (CellChatDB), systematic analysis framework combining network theory with pattern recognition, and emphasis on clear, interpretable visualizations that make complex signaling data accessible.
Overview
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
Use Cases
Best For
- Inferring ligand-receptor interactions from single-cell RNA-seq data
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