Title :
Co-regulated gene fuzzy cluster by expression changing quantity and tendency
Author :
Zhang, Li ; Huanli Pang ; LianZhe Zhou ; Pang, Huanli ; Wang, XiaoHu
Author_Institution :
Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
Abstract :
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.
Keywords :
biology computing; fuzzy set theory; genetics; pattern clustering; SMBS correlation coefficient; changing tendency; coregulated gene fuzzy cluster; expression changing quantity; fuzzy C means cluster; gene expression data; regulatory machine; Biomedical measurements; Correlation; co-regulation genes; correlation coefficient; fuzzy cluster;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5609970
