U-MIMIC Documentation¶
Unified Mechanistic Inference from Multimodal Imaging and Counts
U-MIMIC is a Python package for modeling and analyzing tumor population dynamics under drug treatment. It provides mechanistic simulation (ODE, Gillespie, tau-leaping), multimodal observation models (cell counts, BLI, tumor volume), and inference workflows (MLE, MCMC, SMC, hierarchical Bayesian).
Developed by the Data Analysis Team @KaziLab.se.
Getting Started¶
pip install umimic
umimic --help
User Guide
Infrastructure
- Read the Docs Implementation from GitHub
- Architecture
- Repository files required
- 1. Import the repository into Read the Docs
- 2. Connect GitHub webhooks
- 3. Build configuration details
- 4. Local validation before pushing
- 5. Configure versions and preview behavior in RTD
- 6. Add docs status to GitHub (optional)
- 7. Troubleshooting
- Operational checklist
- Acknowledgements
- PyPI Trusted Publishing from GitHub Actions