CRA toolbox: software package for conditional robustness analysis of cancer systems biology models in MATLAB.

ABSTRACT:

Background

In cancer research, robustness of a complex biochemical network is one of the most relevant properties to investigate for the development of novel targeted therapies. In cancer systems biology, biological networks are typically modeled through Ordinary Differential Equation (ODE) models. Hence, robustness analysis consists in quantifying how much the temporal behavior of a specific node is influenced by the perturbation of model parameters. The Conditional Robustness Algorithm (CRA) is a valuable methodology to perform robustness analysis on a selected output variable, representative of the proliferation activity of cancer disease.

Results

Here we introduce our new freely downloadable software, the CRA Toolbox. The CRA Toolbox is an Object-Oriented MATLAB package

SUBMITTER: Bianconi F 

PROVIDER: S-EPMC6617887 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature