On the Evolution of Scale-Free Topologies with a Gene Regulatory Network Model
|Title:||On the Evolution of Scale-Free Topologies with a Gene Regulatory Network Model||Authors:||Nicolau, Miguel
|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 networks; Scale-free topologies; Evolutionary 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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