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» Stochastic roadmap simulation for the study of ligand-protei...
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DAGSTUHL
2006
13 years 8 months ago
A Petri Net Approach to Verify and Debug Simulation Models
Verification and Simulation share many issues, one is that simulation models require validation and verification. In the context of simulation, verification is understood as the ta...
Peter Kemper, Carsten Tepper
BMCBI
2008
174views more  BMCBI 2008»
13 years 7 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...
FOGA
1998
13 years 8 months ago
Understanding Interactions among Genetic Algorithm Parameters
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
Kalyanmoy Deb, Samir Agrawal
BMCBI
2005
98views more  BMCBI 2005»
13 years 6 months ago
The effects of normalization on the correlation structure of microarray data
Background: Stochastic dependence between gene expression levels in microarray data is of critical importance for the methods of statistical inference that resort to pooling test-...
Xing Qiu, Andrew I. Brooks, Lev Klebanov, Andrei Y...
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
13 years 8 months ago
Structure and parameter estimation for cell systems biology models
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
Francisco José Romero-Campero, Hongqing Cao...