21568538

Source:http://linkedlifedata.com/resource/pubmed/id/21568538

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0443286, umls-concept:C0552449
pubmed:issue	15
pubmed:dateCreated	2011-5-16
pubmed:abstractText	A highly efficient formulation of moment equations for stochastic reaction networks is introduced. It is based on a set of binomial moments that capture the combinatorics of the reaction processes. The resulting set of equations can be easily truncated to include moments up to any desired order. The number of equations is dramatically reduced compared to the master equation. This formulation enables the simulation of complex reaction networks, involving a large number of reactive species much beyond the feasibility limit of any existing method. It provides an equation-based paradigm to the analysis of stochastic networks, complementing the commonly used Monte Carlo simulations.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0401141
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Apr
pubmed:issn	1079-7114
pubmed:author	pubmed-author:BihamOferO, pubmed-author:KIUK SKS
pubmed:issnType	Electronic
pubmed:day	15
pubmed:volume	106
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	150602
pubmed:meshHeading	pubmed-meshheading:21568538-Algorithms, pubmed-meshheading:21568538-Computer Simulation, pubmed-meshheading:21568538-Kinetics, pubmed-meshheading:21568538-Models, Statistical, pubmed-meshheading:21568538-Monte Carlo Method, pubmed-meshheading:21568538-Stochastic Processes
pubmed:year	2011
pubmed:articleTitle	Binomial moment equations for stochastic reaction systems.
pubmed:affiliation	Racah Institute of Physics, The Hebrew University, Jerusalem 91904, Israel.
pubmed:publicationType	Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't