About: Exploring Parameter Space of Stochastic Biochemical Systems Using Quantitative Model Checking

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Exploring Parameter Space of Stochastic Biochemical Systems Using Quantitative Model Checking Goto Sponge Distinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We propose an automated method for exploring kinetic parameters of stochastic biochemical systems. The main question addressed is how the validity of an a priori given hypothesis expressed as a temporal logic property depends on kinetic parameters. Our aim is to compute a landscape function that, for each parameter point from the inspected parameter space, returns the quantitative model checking result for the respective continuous time Markov chain. Since the parameter space is in principle dense, it is infeasible to compute the landscape function directly. Hence, we design an effective method that iteratively approximates the lower and upper bounds of the landscape function with respect to a given accuracy. To this end, we modify the standard uniformization technique and introduce an iterative parameter space decomposition. We also demonstrate our approach on two biologically motivated case studies. We propose an automated method for exploring kinetic parameters of stochastic biochemical systems. The main question addressed is how the validity of an a priori given hypothesis expressed as a temporal logic property depends on kinetic parameters. Our aim is to compute a landscape function that, for each parameter point from the inspected parameter space, returns the quantitative model checking result for the respective continuous time Markov chain. Since the parameter space is in principle dense, it is infeasible to compute the landscape function directly. Hence, we design an effective method that iteratively approximates the lower and upper bounds of the landscape function with respect to a given accuracy. To this end, we modify the standard uniformization technique and introduce an iterative parameter space decomposition. We also demonstrate our approach on two biologically motivated case studies. (en)
Title	Exploring Parameter Space of Stochastic Biochemical Systems Using Quantitative Model Checking Exploring Parameter Space of Stochastic Biochemical Systems Using Quantitative Model Checking (en)
skos:prefLabel	Exploring Parameter Space of Stochastic Biochemical Systems Using Quantitative Model Checking Exploring Parameter Space of Stochastic Biochemical Systems Using Quantitative Model Checking (en)
skos:notation	RIV/00216224:14330/13:00066280!RIV14-MSM-14330___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(EE2.3.20.0256), P(EE2.3.30.0009), P(GAP202/11/0312), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Šafránek, David Češka, Milan Brim, Luboš Dražan, Sven
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	74315
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/13:00066280
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	continuous-time Markov chains; parameter exploration; model checking (en)
http://linked.open.../riv/klicoveSlovo	model checking continuous-time Markov chains parameter exploration
http://linked.open...ontrolniKodProRIV	[1C344F1D61BC]
http://linked.open...v/mistoKonaniAkce	Saint Petersburg
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	25th International Conference, CAV 2013, Saint Petersburg, Russia, July 13-19, 2013. Proceedings
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Local team and international consortium for computational modelling of a cyanobacterial cell Software Components in Embedded Systems: Development and Verification Employment of Newly Graduated Doctors of Science for Scientific Excellence
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Brim, Luboš Češka, Milan Šafránek, David Dražan, Sven
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-01-01 (xsd:date)
issn	0302-9743
number of pages	17 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-39799-8_7
http://purl.org/ne...btex#hasPublisher	Springer-Verlag. (Berlin; Heidelberg)
https://schema.org/isbn	9783642397981
http://localhost/t...ganizacniJednotka	14330

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 97 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software