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By University of California, Irvine (Nie Lab) →
CellChat quantitatively infers and visualizes intercellular signaling networks from single-cell and spatial transcriptomics data, incorporating curated ligand-receptor-cofactor complexes.
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CellChat quantitatively infers and visualizes intercellular signaling networks from single-cell and spatial transcriptomics data, incorporating curated ligand-receptor-cofactor complexes.
Information checked against an official source; not a hands-on test. Source · Last reviewed: 20/09/2026, 11:09:40 UTC
Use this citation format when referencing CellChat in scientific publications and benchmark papers.
@software{cellchat_2026,
title = {{CellChat}},
author = {{University of California, Irvine (Nie Lab)}},
year = {2026},
url = {https://github.com/jinworks/CellChat},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}Live scientific citations queried from Europe PMC and PubMed for CellChat.
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CellChat Scientific Architecture · Credit: University of California, Irvine (Nie Lab) · Open original ↗
Research and editorial use Source & attribution ↗ License ↗
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