DocumentCode
530551
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
Volume
5
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
286
Lastpage
289
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5609970
Filename
5609970
Link To Document