immune-checkpoint-kickstart

The code (MATLAB) for the paper "The Immune Checkpoint Kick Start: Optimization of Neoadjuvant Combination Therapy Using Game Theory" published in JCO Clinical Cancer Informatics.

Figure functions:

Included in the repository are the MATLAB code used to make the following figures:

• figure 3A
• figure 3B
• figure 4
• figure 5A
• figure 5B

Helper functions:

Used inside the above functions are several helper functions, listed below.

• calcMetScore.m (calculates time-weighted average of met score, in fig 5)
• gradientOfMetPotential.m (calculates the map of metastatic potential, used as the background color of fig 3B)
• nice_plot.m (resizes fonts for line plots)
• payoff.m (returns the payoff matrix for given parameter set)
• rep_ode (the set of replicator ordinary differential equations; typically solved using ode45.m)