An interaction-based single-cell data analysis tool powered by Qwen-7B.

Features

• Upload AnnData (.h5ad) files for analysis
• Flexible user requests: supports violin plots, UMAP, dotplot, QC, pseudotime, and more
• Interactive web frontend with stylish UI
• Download results in PDF, PNG, and TIFF formats
• Backend powered by FastAPI and Scanpy
• LLM-driven analysis: leverages Qwen-7B for intelligent request parsing

Quick Start

1. Clone the repository

git clone https://github.com/TGF-B/scAnalyzer.git
cd scAnalyzer

2. Install backend dependencies

cd backend
pip install -r requirements.txt

3. Start the backend server

uvicorn app:app --host 0.0.0.0 --port 8005

4. Serve the frontend

You can use any static file server, or integrate with your backend as needed.

5. Open the app

Visit http://localhost:8005 in your browser.

Directory Structure

scAnalyzer/
├── backend/         # FastAPI backend and analysis logic
├── frontend/        # Frontend (HTML/CSS/JS, React or static)
├── .gitignore
└── README.md

.gitignore Highlights

• Ignores Python cache, large data files, images, and node_modules
• Keeps your repository clean and fast

Notes

• Do not commit large data files (.h5ad, images, etc.) — keep them out of git for performance.
• For deployment, make sure to configure your static file serving and backend endpoints as needed.

License

MIT

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Thanks for using scAnalyzer! If you have questions or suggestions, feel free to open an issue or pull request.