Team:NTU-Taida/Modeling/Stochastic-Analysis

From 2012.igem.org

(Difference between revisions)
(Created page with "{{:Team:NTU-Taida/Templates/Header}}{{:Team:NTU-Taida/Templates/Navbar}}{{:Team:NTU-Taida/Templates/Sidebar|Title=Stochastic Analysis}}{{:Team:NTU-Taida/Templates/ContentStart}} ...")
Line 1: Line 1:
{{:Team:NTU-Taida/Templates/Header}}{{:Team:NTU-Taida/Templates/Navbar}}{{:Team:NTU-Taida/Templates/Sidebar|Title=Stochastic Analysis}}{{:Team:NTU-Taida/Templates/ContentStart}}
{{:Team:NTU-Taida/Templates/Header}}{{:Team:NTU-Taida/Templates/Navbar}}{{:Team:NTU-Taida/Templates/Sidebar|Title=Stochastic Analysis}}{{:Team:NTU-Taida/Templates/ContentStart}}
-
{{:Team:NTU-Taida/Templates/BSHero|Title=Stochastic Analysis|Content=<p></p>}}
+
{{:Team:NTU-Taida/Templates/BSHero|Title=Stochastic Analysis|Content=<p>Besides the parameter space search, we performed another type of analysis in order to verify that our system is robust and that it is mono-stable. We were especially interested in the filter function, whether it is always present and whether the amount of GLP-1 produced in the cells for different concentrations of fatty acid has large fluctuations. Because gene expression is an intrinsically stochastic process, we performed stochastic simulations to see how our system reacts to noise and how it responds to perturbations.</p>}}
<!--EOF-->
<!--EOF-->
{{:Team:NTU-Taida/Templates/ContentEnd}}{{:Team:NTU-Taida/Templates/Footer|ActiveNavbar=Modeling, #nav-Modeling-Stochastic}}
{{:Team:NTU-Taida/Templates/ContentEnd}}{{:Team:NTU-Taida/Templates/Footer|ActiveNavbar=Modeling, #nav-Modeling-Stochastic}}

Revision as of 21:39, 26 October 2012

Stochastic Analysis

Stochastic Analysis

Besides the parameter space search, we performed another type of analysis in order to verify that our system is robust and that it is mono-stable. We were especially interested in the filter function, whether it is always present and whether the amount of GLP-1 produced in the cells for different concentrations of fatty acid has large fluctuations. Because gene expression is an intrinsically stochastic process, we performed stochastic simulations to see how our system reacts to noise and how it responds to perturbations.