Please use this identifier to cite or link to this item: https://doi.org/10.1142/S0219720012310014
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dc.titleModeling and analysis of biopathways dynamics
dc.contributor.authorLiu, B.
dc.contributor.authorThiagarajan, P.S.
dc.date.accessioned2013-07-04T07:46:35Z
dc.date.available2013-07-04T07:46:35Z
dc.date.issued2012
dc.identifier.citationLiu, B., Thiagarajan, P.S. (2012). Modeling and analysis of biopathways dynamics. Journal of Bioinformatics and Computational Biology 10 (4). ScholarBank@NUS Repository. https://doi.org/10.1142/S0219720012310014
dc.identifier.issn02197200
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39657
dc.description.abstractCellular processes are governed and coordinated by a multitude of biopathways. A pathway can be viewed as a complex network of biochemical reactions. The dynamics of this network largely determines the functioning of the pathway. Hence the modeling and analysis of biochemical networks dynamics is an important problem and is an active area of research. Here we review quantitative models of biochemical networks based on ordinary differential equations (ODEs). We mainly focus on the parameter estimation and sensitivity analysis problems and survey the current methods for tackling them. In this context we also highlight a recently developed probabilistic approximation technique using which these two problems can be considerably simplified. © 2012 Imperial College Press.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1142/S0219720012310014
dc.sourceScopus
dc.subjectmodel analysis
dc.subjectparameter estimation
dc.subjectpathway modeling
dc.subjectSystems biology
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1142/S0219720012310014
dc.description.sourcetitleJournal of Bioinformatics and Computational Biology
dc.description.volume10
dc.description.issue4
dc.description.codenJBCBB
dc.identifier.isiut000306329900002
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