RKappa: Statistical sampling suite for Kappa models.
Authors: Anatoly Sorokin, Oksana Sorokina and J. Douglas Armstrong
Paper Information
| Title: | RKappa: Statistical sampling suite for Kappa models. |
| Authors: | Anatoly Sorokin, Oksana Sorokina and J. Douglas Armstrong |
| Proceedings: | HSB 2014 Proceedings |
| Editors: | Adam Halasz and Oded Maler |
| Keywords: | global sensitivity analysis, rule-based models, model composition, model analysis |
| Abstract: | ABSTRACT. We present RKappa, a framework for the development and analysis of rule-base 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 the behaviour of the large-scale systems with limited knowledge of exact mechanisms and respectively sparse availability of parameter values, which we illustrate here with two biological model examples. Package is available on github: https://github.com/lptolik/R4Kappa |
| Pages: | 8 |
| Talk: | Jul 24 14:55 |
| Paper: | ![]() |
