k 2017

Parallel Algorithm for Terminal Components Detection in Parametrised Transition Systems

PASTVA, Samuel

Basic information

Original name

Parallel Algorithm for Terminal Components Detection in Parametrised Transition Systems

Name (in English)

Parallel Algorithm for Terminal Components Detection in Parametrised Transition Systems

Authors

Edition

YR-CONCUR, 2017

Other information

Type of outcome

Prezentace na konferencích

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Keywords in English

systems biology;terminal strongly connected components;parameterised graphs;biological models;parallel algorithms

Tags

International impact, Reviewed
Změněno: 26/10/2017 14:54, RNDr. Samuel Pastva, Ph.D.

Abstract

V originále

Complex behaviour arising in biological systems is typically characterised by various kinds of attractors. An important problem of such analysis is to determine the attractors. Biological systems are usually described by highly parameterised dynamical models that can be represented as parameterised graphs typically constructed as discrete abstractions of continuous-time models. In such models, attractors are observed in the form of terminal strongly connected components (tSCCs). We introduce a novel method for detecting tSCCs in parameterised graphs. The method is supplied with a parallel algorithm and evaluated on several non-linear biological models.

In English

Complex behaviour arising in biological systems is typically characterised by various kinds of attractors. An important problem of such analysis is to determine the attractors. Biological systems are usually described by highly parameterised dynamical models that can be represented as parameterised graphs typically constructed as discrete abstractions of continuous-time models. In such models, attractors are observed in the form of terminal strongly connected components (tSCCs). We introduce a novel method for detecting tSCCs in parameterised graphs. The method is supplied with a parallel algorithm and evaluated on several non-linear biological models.

Links

GA15-11089S, research and development project
Name: Získávání parametrů biologických modelů pomocí techniky ověřování modelů
Investor: Czech Science Foundation
LM2015055, research and development project
Name: Centrum pro systémovou biologii (Acronym: C4SYS)
Investor: Ministry of Education, Youth and Sports of the CR