RKappa: Statistical Sampling Suite for Kappa Models View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Anatoly Sorokin , Oksana Sorokina , J. Douglas Armstrong

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. We illustrate it here with two biological examples. The package is available on github: https://​github.​com/​lptolik/​R4Kappa. More... »

PAGES

128-142

References to SciGraph publications

Book

TITLE

Hybrid Systems Biology

ISBN

978-3-319-27655-7
978-3-319-27656-4

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-27656-4_8

DOI

http://dx.doi.org/10.1007/978-3-319-27656-4_8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051700849


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