Clustering protein interaction data through chaotic genetic algorithm

Authors:
Hongbiao Liu;Juan Liu
Affiliations:
School of Computer, Wuhan University, Wuhan, China;School of Computer, Wuhan University, Wuhan, China
Venue:
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Year:
2006

Citing 1
Cited 4

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Abstract

In this paper, we proposed a Chaotic Genetic Algorithm (CGA) to cluster protein interaction data to find protein complexes. Compared with other computation methods, the main advantage of this method is that it can find as many potential protein complexes as possible. Application on the Yeast genomic data highlights the efficiency of our method.