This repository contains materials for the Mathematical Modeling and Data Science in Tumor Evolution course. The course covers:
- Mathematical models to represent complex biological systems.
- Population genetics principles in cancer evolution.
- Numerical methods for solving ordinary differential equations.
- Stochastic branching processes for understanding tumor-immune coevolution.
data/: Contains datasets used for simulations and analysis.notebook.ipynb: Jupyter Notebook with hands-on exercises and model implementations.README.md: Overview of the project.
- Clone this repository:
git clone <repository_url>