46564 20210121114447.0 doi 10.3390/e17041896 sideral 90829 ART-2015-90829 eng Chinesta, F. Kinetic theory modeling and efficient numerical simulation of gene regulatory networks based on qualitative descriptions 2015 Access copy available to the general public Unrestricted n this work, we begin by considering the qualitative modeling of biological regulatory systems using process hitting, from which we define its probabilistic counterpart by considering the chemical master equation within a kinetic theory framework. The last equation is efficiently solved by considering a separated representation within the proper generalized decomposition framework that allows circumventing the so-called curse of dimensionality. Finally, model parameters can be added as extra-coordinates in order to obtain a parametric solution of the model info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 1.743 2015 PHYSICS, MULTIDISCIPLINARY 25 / 79 = 0.316 2015 Q2 T1 0.551 2015 Physics and Astronomy (miscellaneous) 2015 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Magnin, M. Roux, O. Ammar, A. (orcid)0000-0003-1017-4381 Cueto, E. Universidad de Zaragoza 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 17, 4 (2015), 1896-1915 Entropy ENTROPY 1099-4300 849924 http://zaguan.unizar.es/record/46564/files/texto_completo.pdf Versión publicada 78332 http://zaguan.unizar.es/record/46564/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:46564 articulos driver 2021-01-21-10:43:29 ARTICLE