Computer-Assisted Research about Cancer growth and INsights on Oncologic Mechanisms

A software for nonlinear regression of tumor growth models and statistical inference

This software is primarily designed to perform a modeling analysis of tumor growth kinetics. Given a data set of longitudinal measurements of tumor size in a population, it fits several models of tumor growth, computes several goodness-of-fit statistical metrics, identifies the parameters of the models and estimates the uncertainty associated to their determination. It provides several graphical and numerical outputs (in the form of LaTeX tables).

This software is developed in two versions, one written in Matlab and one in python. Currently, the matlab one offers better support and one additional feature: population parameter estimation in the framework of nonlinear mixed-effect models.

Separate readme files are available in the respective folders.