期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2012
卷号：3
期号：3-1
出版社：Seventh Sense Research Group
摘要：Microarray has been a popular method for representing biological data. Microarray technology allows biologists to monitor genomewide patterns of gene expression in a highthroughput fashion. Clustering the biological sequences according to their components may reveal the biological functionality among the sequences. Data cluster analysis is an important task in microarray data. There is no clustering algorithm that can be universally used to solve all problems. Therefore in this paper comparative study of data cluster analysis for microarray is presented. Here the most popular cluster algorithms that can be applied for microarray data are discussed. The uncertainty of data, optimization and density estimation are considered for comparison.
关键词：Microarray Data; Data Cluster Analysis; Bioinformatics
