Stability analysis of biological network topologies during stochastic simulation

Tommaso Mazza, Davide Prandi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent advances in the stochastic simulation of biological systems have exploited the weighted dependency di-graph as a compact representation of the computational workload. It was largely used to represent the causal relationships among reactions and then to determine their cause-effect implications. Although critical for several applications, the topology of the dependency graph has been little studied so far. Here, we make use of some network topology indices to detect and characterize the important reactions of two real case studies. We measure the stability of such indices over time and make a case for considering them in parallel stochastic simulation.

Original languageEnglish
Title of host publicationSIMUTools 2011 - 4th International ICST Conference on Simulation Tools and Techniques
PublisherICST
Pages51-56
Number of pages6
ISBN (Print)9781936968008
DOIs
Publication statusPublished - 2011
Event4th International ICST Conference on Simulation Tools and Techniques, SIMUTools 2011 - Barcelona, Spain
Duration: Mar 21 2011Mar 25 2011

Other

Other4th International ICST Conference on Simulation Tools and Techniques, SIMUTools 2011
CountrySpain
CityBarcelona
Period3/21/113/25/11

ASJC Scopus subject areas

  • Modelling and Simulation

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