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» Evolving genetic regulatory networks for systems biology
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CONCUR
2005
Springer
15 years 6 months ago
A Compositional Approach to the Stochastic Dynamics of Gene Networks
We propose a compositional approach to the dynamics of gene regulatory networks based on the stochastic π-calculus, and develop a representation of gene network elements which can...
Luca Cardelli
129
Voted
CIBCB
2009
IEEE
15 years 1 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
BMCBI
2007
215views more  BMCBI 2007»
15 years 14 days ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
96
Voted
ICCS
2005
Springer
15 years 6 months ago
Modelling Dynamics of Genetic Networks as a Multiscale Process
A key phenomenon in the dynamics of genetic networks is the cell cycle. In the study of this phenomenon, an important task is to understand how many processes, acting on different...
Xilin Wei, Roderick V. N. Melnik, Gabriel Moreno-H...
112
Voted
BMCBI
2008
174views more  BMCBI 2008»
15 years 17 days ago
Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
Cédric Auliac, Vincent Frouin, Xavier Gidro...