System Requirements:
This project has been tested on the following operating systems: macOS Big Sur 11.7.10
Before beginning, ensure you have met the following requirements:
• Python 3.7 or 3.8: The code in these notebooks are compatible with Python 3.7 or 3.8.
To run the Jupyter Notebook, you need to install JupyterLab or Jupyter Notebook. We recommend creating a virtual environment for this project to manage dependencies easily. All package dependencies (i.e. numpy, pandas, etc.) are called in the respective Jupyter Notebook file.
Installation instructions:
Clone the repository: git clone https://github.com/DenisTitovLab/WarburgEffectModel.git
Instructions for use:
This repository contains the complete set of code to reproduce the figures presented in the manuscript. Each Jupyter notebook is named by the figure(s) it generates and contain all necessary Python packages and paths to the required datasets stored in the Data directory. The expected total compute time to run all notebooks is under one hour.