Genetic Sequential Dynamical Systems

dc.creatorAvino-Diaz, Maria A.
dc.creatorOrtiz, Humberto
dc.creatorMoreno, Oscar
dc.date2006-03-15
dc.date2006-04-03
dc.date.accessioned2026-07-07T07:06:55Z
dc.date.available2026-07-07T07:06:55Z
dc.descriptionThe whole complex process to obtain a protein encoded by a gene is difficult to include in a mathematical model. There are many models for describing different aspects of a genetic network. Finding a better model is one of the most important and interesting questions in computational biology. Sequential dynamical systems have been developed for a theory of computer simulation, and in this paper, a genetic sequential dynamical system is introduced. A gene is considered to be a function which can take a finite number of values. We prove that a genetic sequential dynamical system is a mathematical good description for a finite state linear model introduced by Brazma in www.ebi.ac.uk/microarray/biology-intro.html, EMBL-EBI, European Bioinformatics Institute, (2000).
dc.identifierhttps://arxiv.org/abs/math/0603370
dc.identifierhttp://arxiv.org/abs/math/0603370
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/110205
dc.subjectDynamical Systems
dc.subjectRings and Algebras
dc.subject11T99 ; 05C20
dc.titleGenetic Sequential Dynamical Systems
dc.typetext

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