Overview
What is decoupler-MCP?
Decoupler-MCP is a natural language interface designed for analyzing single-cell RNA sequencing (scRNA-Seq) data using the decoupler framework through the MCP (Multi-Channel Protocol).
How to use decoupler-MCP?
To use decoupler-MCP, install it via PyPI with the command pip install decoupler-mcp, and run it locally or remotely as per the provided configuration instructions in your MCP client.
Key features of decoupler-MCP?
- IO module for reading and writing scRNA-Seq data.
- Pathway activity and transcription factor inference.
- Tool modules for clustering and differential expression analysis.
- Plotting capabilities including violin plots and UMAP/t-SNE visualizations.
Use cases of decoupler-MCP?
- Performing scRNA-Seq analysis using natural language queries.
- Integrating decoupler functions into AI clients and agent frameworks.
- Visualizing cell cluster analysis in AI environments like Cherry Studio.
FAQ from decoupler-MCP?
- Who can use decoupler-MCP?
Anyone interested in scRNA-Seq analysis or developers looking to integrate decoupler's functionalities into their applications.
- Is there a demo available?
Yes! A demo showcasing scRNA-Seq cell cluster analysis is available in the AI client Cherry Studio.
- How can I contribute to decoupler-MCP?
Contributions are welcome! You can submit issues or contact the author for collaboration.