Mathematical Modeling and Data Science in Tumor Evolution

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.

Repository Contents

• 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.

Getting Started

1. Clone this repository:

   git clone <repository_url>
   

ModEvoCourse