This is a single python module for a cellular automaton modeling tumor growth. The user can set the parameters, create unique initial states, view and save statistics, save data and also use a streamlit dashboard as a graphical interface. Growth plots, histograms and animation is available for visualization in an easy to use way.
The theoretical background for this model is based on the work of Carlos A Valentim, José A Rabi and Sergio A David.
Valentim CA, Rabi JA, David SA. Cellular-automaton model for tumor growth dynamics: Virtualization of different scenarios. Comput Biol Med. 2023 Feb;153:106481. doi: 10.1016/j.compbiomed.2022.106481. Epub 2022 Dec 28. PMID: 36587567. (url: https://pubmed.ncbi.nlm.nih.gov/36587567/)
This documentation provides detaild description on how to use the modul, with example codes and links to example files.
Visualization from running a single model. If enabled, the user recieves an image of the growth a line graph of cell numbers over time and a histogram of proliferation potentials.
Animation is available to turn on when running the model as well. Visualizing a dataframe containing results from multiple model executions is also possible. A cell number line graph of the average numbers and a histogram of the average proliferation potentials can be plotted with standard deviations.
