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» Current approaches to gene regulatory network modelling
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BMCBI
2008
166views more  BMCBI 2008»
13 years 8 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
GECCO
2004
Springer
138views Optimization» more  GECCO 2004»
14 years 1 months ago
Comparing Genetic Programming and Evolution Strategies on Inferring Gene Regulatory Networks
Abstract. In recent years several strategies for inferring gene regulatory networks from observed time series data of gene expression have been suggested based on Evolutionary Algo...
Felix Streichert, Hannes Planatscher, Christian Sp...
VISUALIZATION
2002
IEEE
14 years 1 months ago
GeneVis: Visualization Tools for Genetic Regulatory Network Dynamics
GeneVis provides a visual environment for exploring the dynamics of genetic regulatory networks. At present time, genetic regulation is the focus of intensive research worldwide, ...
Charles A. H. Baker, M. Sheelagh T. Carpendale, Pr...
GECCO
2005
Springer
180views Optimization» more  GECCO 2005»
14 years 1 months ago
Inference of gene regulatory networks using s-system and differential evolution
In this work we present an improved evolutionary method for inferring S-system model of genetic networks from the time series data of gene expression. We employed Differential Ev...
Nasimul Noman, Hitoshi Iba
BMCBI
2006
87views more  BMCBI 2006»
13 years 8 months ago
Phylogeny based discovery of regulatory elements
Background: Algorithms that locate evolutionarily conserved sequences have become powerful tools for finding functional DNA elements, including transcription factor binding sites;...
Jason Gertz, Justin C. Fay, Barak A. Cohen