Infercnv-MCP

What is Infercnv-MCP?

Infercnv-MCP is a natural language interface designed for Copy Number Variation (CNV) inference from single-cell RNA sequencing (scRNA-Seq) data using the infercnvpy library through the MCP framework.

How to use Infercnv-MCP?

To use Infercnv-MCP, install it via PyPI with the command pip install infercnv-mcp, and run it locally or remotely by configuring your MCP client accordingly.

Key features of Infercnv-MCP?

• IO module for reading and writing scRNA-Seq data and loading gene positions.
• Preprocessing module for neighbor computation and data preparation.
• Tool module for CNV inference and CNV scoring.
• Plotting module for visualizations including chromosome heatmaps, UMAP, and t-SNE.

Use cases of Infercnv-MCP?

1. Inferring CNVs from scRNA-Seq data for research purposes.
2. Integrating CNV analysis into AI applications and plugins.
3. Visualizing CNV data through advanced plotting techniques.

FAQ from Infercnv-MCP?

• Who can use Infercnv-MCP?

Researchers and developers looking to analyze CNVs from scRNA-Seq data using a natural language interface.

• How do I install Infercnv-MCP?

You can install it using the command pip install infercnv-mcp.

• Can I run Infercnv-MCP on a server?

Yes, you can run it remotely by configuring your MCP client to connect to the server.