cellrank-MCP

Created By
scmcphuba year ago
MCP server for trajectory inference using cellrank
Overview

What is cellrank-MCP?

cellrank-MCP is a natural language interface designed for single-cell RNA sequencing (scRNA-Seq) analysis, utilizing the capabilities of cellrank for trajectory inference.

How to use cellrank-MCP?

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

Key features of cellrank-MCP?

  • IO module for reading and writing scRNA-Seq data
  • Preprocessing capabilities including filtering, quality control, normalization, and PCA
  • Tools for clustering and differential expression analysis
  • Visualization options such as violin plots, heatmaps, and dot plots

Use cases of cellrank-MCP?

  1. Performing scRNA-Seq analysis using natural language queries.
  2. Integrating with AI clients and agent frameworks for enhanced data analysis.
  3. Facilitating research in single-cell genomics through easy-to-use interfaces.

FAQ from cellrank-MCP?

  • Who can use cellrank-MCP?

Anyone interested in scRNA-Seq analysis, including researchers and developers.

  • Is there documentation available?

Yes, complete documentation can be found at https://docs.scmcphub.org.

  • How can I contribute to the project?

Contributions are welcome! You can submit issues or contact the author for collaboration.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
scmcphub
Star
2
Language
Python
License
-

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