Sorokin Anatoly, Sorokina Oksana, Douglas Armstrong J
Institute of Cell Biophysics, Russian Academy of Sciences, Moscow Region, Russia.
Moscow Institute of Physics and Technology, Moscow Region, Russia.
Methods Mol Biol. 2019;1945:363-390. doi: 10.1007/978-1-4939-9102-0_17.
RKappa is a framework for the development, simulation, and analysis of rule-based models within the mature statistically empowered R environment. It is designed for model editing, parameter identification, simulation, sensitivity analysis, and visualization. The framework is optimized for high-performance computing platforms and facilitates analysis of large-scale systems biology models where knowledge of exact mechanisms is limited and parameter values are uncertain.The RKappa software is an open-source (GLP3 license) package for R, which is freely available online ( https://github.com/lptolik/R4Kappa ).
RKappa是一个用于在成熟的具有统计能力的R环境中开发、模拟和分析基于规则模型的框架。它专为模型编辑、参数识别、模拟、敏感性分析和可视化而设计。该框架针对高性能计算平台进行了优化，便于分析大规模系统生物学模型，在这些模型中，确切机制的知识有限且参数值不确定。RKappa软件是一个用于R的开源（GLP3许可）包，可在网上免费获取（https://github.com/lptolik/R4Kappa ）。
