Stochastic models and numerical algorithms for a class of regulatory gene networks

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dc.creatorFournier, Thomas
dc.creatorGabriel, Jean-Pierre
dc.creatorMazza, Christian
dc.creatorPasquier, Jerome
dc.creatorGalbete, Jose
dc.creatorMermod, Nicolas
dc.date2008-10-01
dc.date.accessioned2026-07-07T10:06:45Z
dc.date.available2026-07-07T10:06:45Z
dc.descriptionRegulatory gene networks contain generic modules like those involving feedback loops, which are essential for the regulation of many biological functions. We consider a class of self-regulated genes which are the building blocks of many regulatory gene networks, and study the steady state distributions of the associated Gillespie algorithm by providing efficient numerical algorithms. We also study a regulatory gene network of interest in synthetic biology and in gene therapy, using mean-field models with time delays. Convergence of the related time-nonhomogeneous Markov chain is established for a class of linear catalytic networks with feedback loops
dc.identifierhttps://arxiv.org/abs/0810.0239
dc.identifierhttp://arxiv.org/abs/0810.0239
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/170431
dc.subjectSubcellular Processes
dc.subjectCell Behavior
dc.titleStochastic models and numerical algorithms for a class of regulatory gene networks
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