A moment-convergence method for stochastic analysis of biochemical reaction networks

Traditional moment-closure methods need to assume that high-order cumulants of a probability distribution approximate to zero. However, this strong assumption is not satisfied for many biochemical reaction networks. Here, we introduce convergent moments (defined in mathematics as the coefficients in...

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Veröffentlicht in:	The Journal of chemical physics Jg. 144; H. 19; S. 194109
Hauptverfasser:	Zhang, Jiajun, Nie, Qing, Zhou, Tianshou
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 21.05.2016
Schlagworte:	Algorithms Biochemical Phenomena Computer Simulation Gene Expression Gene Regulatory Networks Kinetics Mathematical Concepts Metabolic Networks and Pathways Models, Biological Models, Chemical Probability Stochastic Processes
ISSN:	1089-7690, 1089-7690
Online-Zugang:	Weitere Angaben
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