PERFECTO: Prediction of Extended Response and Growth Functions for Estimating Chemotherapy Outcomes in Breast Cancer

PERFECTO Codebase:

datasets - the experimental datasets (csv files) and their source, each in separate directories
models - codebase to run and reproduce the experiments

Directory structure:

models/PERFECTO/.

• create_init_network.m - init PERFECTO network (SOM + HL)
• error_std.m - error std calculation function
• PERFECTO_core.m - main script to run PERFECTO
• model_rmse.m - RMSE calculation function
• model_sse.m - SSE calculation function
• parametrize_learning_law.m - function to parametrize PERFECTO learning
• present_tuning_curves.m - function to visualize PERFECTO SOM tuning curves
• randnum_gen.m - weight initialization function
• tumor_growth_model_fit.m - function implementing ODE models
• tumor_growth_models_eval.m - main evaluation on PERFECTO runtime
• visualize_results.m - visualize PERFECTO output and internals
• visualize_runtime.m - visualize PERFECTO runtime

Usage:

models/PERFECTO/perfecto_core.m - main function that runs PERFECTO and generates the runtime output file (mat file)
models/PERFECTO/tumor_growth_models_eval.m - evaluation and plotting function reading the PERFECTO runtime output file