<?xml version="1.0" encoding="UTF-8"?>
<collection>
<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.3390/e17041896</dc:identifier><dc:language>eng</dc:language><dc:creator>Chinesta, F.</dc:creator><dc:creator>Magnin, M.</dc:creator><dc:creator>Roux, O.</dc:creator><dc:creator>Ammar, A.</dc:creator><dc:creator>Cueto Prendes, Elias</dc:creator><dc:title>Kinetic theory modeling and efficient numerical simulation of gene regulatory networks based on qualitative descriptions</dc:title><dc:identifier>ART-2015-90829</dc:identifier><dc:description>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</dc:description><dc:date>2015</dc:date><dc:source>http://zaguan.unizar.es/record/46564</dc:source><dc:doi>10.3390/e17041896</dc:doi><dc:identifier>http://zaguan.unizar.es/record/46564</dc:identifier><dc:identifier>oai:zaguan.unizar.es:46564</dc:identifier><dc:identifier.citation>ENTROPY 17, 4 (2015), 1896-1915</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

</collection>