RKappa: Statistical sampling suite for Kappa models

Abstract

We present RKappa, a framework for the development and analysis of rule-based models within a mature, statistically empowered R environment. The infrastructure allows model editing, modification, parameter sampling, simulation, statistical analysis and visualisation without leaving the R environment. We demonstrate its effectiveness through its application to Global Sensitivity Analysis, exploring it in "parallel" and "concurrent" implementations. The pipeline was designed for high performance computing platforms and aims to facilitate analysis of the behaviour of large-scale systems with limited knowledge of exact mechanisms and respectively sparse availability of parameter values, and is illustrated here with two biological examples. The package is available on github: https://github.com/lptolik/R4Kappa

Hybrid Systems and Biology 2014, Vienna