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CIBCB
2009
IEEE
13 years 6 months ago
Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations
Although Ordinary Differential Equations (ODEs) have been used to model Genetic Regulatory Networks (GRNs) in many previous works, their steady-state behaviors are not well studied...
Haixin Wang, Lijun Qian, Edward R. Dougherty
EOR
2007
87views more  EOR 2007»
13 years 4 months ago
Modeling gene regulatory networks with piecewise linear differential equations
Jutta Gebert, Nicole Radde, Gerhard-Wilhelm Weber
BMCBI
2010
133views more  BMCBI 2010»
13 years 5 months ago
Stability analysis of the GAL regulatory network in Saccharomyces cerevisiae and Kluyveromyces lactis
Background: In the yeast Saccharomyces cerevisiae, interactions between galactose, Gal3p, Gal80p, and Gal4p determine the transcriptional status of the genes required for the gala...
Vishwesh V. Kulkarni, Venkatesh Kareenhalli, Pushk...
IJON
2006
123views more  IJON 2006»
13 years 4 months ago
A novel approach to model neuronal signal transduction using stochastic differential equations
We introduce a new approach to model the behavior of neuronal signal transduction networks using stochastic differential equations. We present first a mathematical formulation for...
Tiina Manninen, Marja-Leena Linne, Keijo Ruohonen
BMCBI
2008
166views more  BMCBI 2008»
13 years 5 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf