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» Current approaches to gene regulatory network modelling
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CEC
2008
IEEE
13 years 8 months ago
Evolving scale-free topologies using a Gene Regulatory Network model
Abstract-- A novel approach to generating scale-free network topologies is introduced, based on an existing artificial Gene Regulatory Network model. From this model, different int...
Miguel Nicolau, Marc Schoenauer
BMCBI
2010
172views more  BMCBI 2010»
13 years 6 months ago
Comparison of evolutionary algorithms in gene regulatory network model inference
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
Alina Sîrbu, Heather J. Ruskin, Martin Crane
JCB
2006
114views more  JCB 2006»
13 years 6 months ago
A General Modeling Strategy for Gene Regulatory Networks with Stochastic Dynamics
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes is built using the Gillespie algorithm with time delays as an example of a simpl...
Andre Ribeiro, Rui Zhu, Stuart A. Kauffman
ISBRA
2009
Springer
14 years 1 months ago
Using Gene Expression Modeling to Determine Biological Relevance of Putative Regulatory Networks
Identifying gene regulatory networks from high-throughput gene expression data is one of the most important goals of bioinformatics, but it remains difficult to define what makes a...
Peter Larsen, Yang Dai
BMCBI
2008
174views more  BMCBI 2008»
13 years 6 months 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...