Thank you for your interest! Here is how you can contribute:
Open a GitHub Issue with:
- Which project (A1-A5, B1-B5, or meta-tool)
- Steps to reproduce
- Expected vs actual behavior
- New biological targets or datasets
- Better ML models or features
- Additional tools for the demo Space
The highest-value contribution is replacing SIMULATED datasets with real experimental data. See each project README for the specific data gaps.
- Fork the repository
- Create a branch:
git checkout -b feature/your-improvement - Commit with clear message:
git commit -m "add: real TCGA data for A1" - Open a Pull Request
- Python 3.10+
- All figures: white background, 300 DPI, PNG + SVG
- Label all simulated data clearly
- Include execution_trace.ipynb for reproducibility
If you add data or methods from published papers, cite them in the relevant report.md file.