Co-regulated Gene Fuzzy Cluster by Expression Changing Quantity and Tendency

摘要：

This paper use the SMBS correlation coefficient and Fuzzy C means cluster algorithm to cluster the gene expression data. The algorithm will cover positive and negative co-regulated genes by measuring their changing quantity and tendency, and get the cluster result according to their true regulatory relationship. The regulatory machine can be figured out by the algorithm.

关键词： co-regulation genes correlation coefficient fuzzy cluster

作者: Li Zhang Huanli Pang LianZhe Zhou Han Wang XiaoHu Wang

作者单位: College of Computer Science and Engineering , Changchun University of Technology Changchun 130012, P College of Computer Science and Engineering , Changchun University of Technology College of Computer Science and Technology, Jilin University Changchun 130012, P. R. China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 286-289

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）