A Pairwise Clustering Based Biclustering Method

摘要：

Gene expression data is a kind of data matrix used to represent the expression level of different genes under specific conditions simultaneously. Genes which exhibit similar patterns are often functionally related. Microarray data Biclustering is very important for the research on gene regulatory mechanisms. The fact that the elements lying in one bicluster are greatly distributed among the original data matrix adds great difficulty to detect the biclusters. In this paper a novel bicluster detection method is proposed. It makes use of the existing traditional clustering algorithms such ns Kmeans as an intermediate tool to do data clustering. Based on an interesting phenomenon which can be proved to be a characteristic of bicluster, the biclusters are detected one by one. Especially, in order to save the extra clustering processing, a dynamic clustering tables creation method is applied. At the end of the paper experiment results on the simulated data are presented.

关键词： Clustering K-means Bicluster Gene expression data Pattern recognition

作者: ZHANG Yanjie WU Shuanhu

作者单位: School of Computer Sciences and Technology Yantai University Yantai, P.R.China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 311-314

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）