Biclustering gene expression data by an improved optimal algorithm

被引：0
|
作者：
Wang, MingQian [1 ]
Tian, Wei [1 ]
Kang, Hao [1 ]
Gao, WenJu [1 ]
机构：
[1] Changchun Inst Engn Technol, Changchun 130000, Peoples R China
来源：
MECHATRONICS AND INDUSTRIAL INFORMATICS, PTS 1-4 | 2013年 / 321-324卷
关键词：
parallel immune genetic algorithm; biclustering; residue function;
D O I：
10.4028/www.scientific.net/AMM.321-324.2223
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel biclustering algorithm is proposed in this paper, which can be used to cluster gene expression data. One of the contributions of this paper is a novel and effective residue function of the biclustering algorithm. Furthermore, a new optimal algorithm which is mixed by the parallel genetic algorithm and the particle swarm optimal algorithm is firstly used to the algorithm of the biclustering for gene expression data. we compared our algorithm with traditional genetic algorithm in biclustering. The results reveal that novel proposed algorithms could discover the interesting patterns in the gene expression profiles.
引用
收藏
页码：2223 / 2226
页数：4
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