On the Evolution of Scale-Free Topologies with a Gene Regulatory Network Model

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Title: On the Evolution of Scale-Free Topologies with a Gene Regulatory Network Model
Authors: Nicolau, Miguel
Schoenauer, Marc
Permanent link: http://hdl.handle.net/10197/8252
Date: Dec-2009
Online since: 2017-01-04T15:41:16Z
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 interaction networks can be extracted, based on an activation threshold. By using an evolutionary computation approach, the model is allowed to evolve, in order to reach specific network statistical measures. The results obtained show that, when the model uses a duplication and divergence initialisation, such as seen in nature, the resulting regulation networks not only are closer in topology to scale-free networks, but also require only a few evolutionary cycles to achieve a satisfactory error value.
Funding Details: European Commission
Type of material: Journal Article
Publisher: Elsevier
Journal: Biosystems
Volume: 98
Issue: 3
Start page: 137
End page: 148
Copyright (published version): 2009 Elsevier
Keywords: Gene regulatory networksScale-free topologiesEvolutionary computation
DOI: 10.1016/j.biosystems.2009.06.006
Language: en
Status of Item: Peer reviewed
Appears in Collections:Business Research Collection

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