Multivariate moment closure techniques for stochastic kinetic models

Journal of Chemical Physics

Volumn 143, Issue 9, 2015, Pages

  Lakatos, Eszter ^a   Ale, Angelique ^a   Kirk, Paul D W ^a   Stumpf, Michael P H ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICS; LINEAR SYSTEMS; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; STOCHASTIC SYSTEMS;

APPROXIMATION SCHEME; BIOCHEMICAL PROCESS; COMPUTATIONAL BURDEN; LINEAR NOISE APPROXIMATION; MITOGEN ACTIVATED PROTEIN KINASE; STOCHASTIC DYNAMICS; STOCHASTIC KINETICS; STOCHASTIC SIMULATIONS;

STOCHASTIC MODELS;

CHEMICAL MODEL; KINETICS; MARKOV CHAIN; MULTIVARIATE ANALYSIS;

KINETICS; MODELS, CHEMICAL; MULTIVARIATE ANALYSIS; STOCHASTIC PROCESSES;

EID: 84940984046     PISSN: 00219606     EISSN: None     Source Type: Journal    
DOI: 10.1063/1.4929837     Document Type: Article

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62. A Python package that implements the method described here is available from our web page http://www.theosysbio.bio.ic.ac.uk.