earmingol/cell2cell
User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins
This tool helps researchers understand how different cells communicate with each other by analyzing their gene expression data. You input gene expression measurements, often from bulk or single-cell RNA sequencing experiments, and it outputs insights into which cells are interacting and through which proteins. It is designed for biologists, biomedical researchers, and computational biologists studying cellular communication.
Use this if you need to systematically identify and interpret cell-cell interaction patterns from your gene expression datasets.
Not ideal if you are looking for a purely experimental method to validate cell-cell interactions rather than a computational inference tool.
Stars
79
Forks
20
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 28, 2026
Commits (30d)
0
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