期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：27
期号：3
页码：121-125
DOI：10.14445/22312803/IJCTT-V27P121
出版社：Seventh Sense Research Group
摘要：Minute variations in genes can have a major impact on how humans respond to disease, environmental factors such as bacteria, viruses, toxins, chemicals and drugs and other therapies.. Cluster analysis seeks to partition a given data set into groups based on specified features so that the data points within a group are more similar to each other than the points in different groups. The clustering algorithms have been proven useful for identifying biologically relevant groups of genes and samples. Hence in this paper we propose a new clustering algorithm for gene expression data associated to three different types of cancer and also compare with the existing approaches to prove the novel approach proposed here, has a better performance, reliability and provide more meaningful biological significance.
