基于遗传算法的基因微阵列数据聚类

Clustering Microarray Gene Data Based on Genetic Algorithm

微阵列基因数据用以挖掘特定的生物信息,聚类分析对于研究基因功能和基因调控机制有重要意义.结合改进的遗传算法对基因微阵列数据进行聚类分析,并且通过实验与K均值聚类进行比较.仿真实验表明,该算法可以有效改进基因微阵列数据的聚类准确率.

The microarray gene dataset is used to mine the specific biological information,and it is extremely important for the study of gene function and gene regulation mechanisms based on the clustering analysis.In the article,we propose a clustering analysis combined an improved genetic algorithm（GA）,and compared with the K-means clustering.Simulation experiment shows that the algorithm can improve the clustering accuracy of the microarray data.