Title :
Biclustering of Gene Expression Data Using PSO-GA Hybrid
Author :
Xie, Baiyi ; Chen, Shihong ; Liu, Feng
Author_Institution :
Comput. Sch., Wuhan Univ., Wuhan
Abstract :
The biclustering of gene expression data is an important technology for biologists and the biclustering problem is proven to be NP-hard. In this paper, a hybrid evolutionary optimization algorithm based on particle swarm and Genetic algorithms is presented to solve the biclustering problem. Additionally, this paper gives a comparison between hybrid algorithm, GA, and PSO. Experiments show that our method can beat other methods.
Keywords :
cellular biophysics; genetic algorithms; genetics; molecular biophysics; optimisation; PSO-GA hybrid; biclustering; gene expression; genetic algorithms; hybrid evolutionary optimization algorithm; particle swarm; Biology computing; Clustering algorithms; DNA; Evolutionary computation; Gene expression; Genetic algorithms; Optimization methods; Particle swarm optimization; Rail transportation; Simulated annealing;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-1120-3
DOI :
10.1109/ICBBE.2007.81
