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» GeNESiS: gene network evolution simulation software
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159
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BMCBI
2008
144views more  BMCBI 2008»
15 years 6 months ago
WGCNA: an R package for weighted correlation network analysis
Background: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method ...
Peter Langfelder, Steve Horvath
166
Voted
WETICE
2005
IEEE
15 years 11 months ago
Evaluation of an awareness distribution mechanism: A simulation approach
In distributed software engineering, the role of informal communication is frequently overlooked. Participants simply employ their own ad-hoc methods of informal communication. Co...
David Nutter, Cornelia Boldyreff
177
Voted
WABI
2010
Springer
167views Bioinformatics» more  WABI 2010»
15 years 4 months ago
Quantifying the Strength of Natural Selection of a Motif Sequence
Quantification of selective pressures on regulatory sequences is a central question in studying the evolution of gene regulatory networks. Previous methods focus primarily on sing...
Chen-Hsiang Yeang
196
Voted
GECCO
1999
Springer
130views Optimization» more  GECCO 1999»
15 years 10 months ago
Heterochrony and Adaptation in Developing Neural Networks
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...
Angelo Cangelosi
155
Voted
CEC
2008
IEEE
16 years 8 days ago
Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling
— Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
Dirk Gorissen, Luciano De Tommasi, Jeroen Croon, T...