MLPA (Machine Learning for Precision Oncology) is a project aimed at developing a digital twin of cancer by integrating multiscale, spatial transcriptomic, and temporal data. This repository includes MATLAB scripts and data files designed to model cancer progression and response to treatments.

• Scripts:

  • camodel.m: Main model script for cancer simulation.
  • contour.m: Generates contour plots for data visualization.
  • drug.m: Models drug interactions and effects on cancer cells.
  • errorfinder.m: Identifies and corrects errors in the dataset.
  • Additional scripts for data processing and analysis.

• Data:

  • pathways.csv: Contains pathway information for analysis.
  • tumor_analysis_results.csv: Results from tumor analysis.

1. Prerequisites:

   • MATLAB (version XYZ or later)

2. Installation:

   • Clone this repository:

     git clone https://github.com/jamesgu888/MLPA.git

   • Add the repository to your MATLAB path:

     addpath('path/to/MLPA');

3. Usage:

   • Run the main model script:

     camodel

   • Generate visualizations:

     contour

Contributions are welcome! Please fork this repository and submit pull requests.

For questions or support, please open an issue or contact the project maintainers at [jamesguru77@gmail.com] or [jakechen@uab.edu].