Title :
Application of a New Similarity Measure in Clustering Gene Expression Data
Author :
Gangguo Li ; Zheng-Zhi Wang ; Qingshan Ni ; Xiaomin Wang ; Bo Qiang ; Han Qing-juan
Author_Institution :
Inst. of Autom., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
A new similarity measure for gene expression data, CorHsim, is proposed. It is compared with the other two commonly used measures over some very simple examples. Together with the other two measures, it is implemented in K- means clustering method over two real gene expression data sets. The clustering results show that the CorHsim measure has better performances than the other two measures, which demonstrates that it is a promising measure for gene expression data to discover gene expression patterns.
Keywords :
bioinformatics; genetics; pattern clustering; CorHsim; K- means clustering; clustering gene expression data; similarity measure; Automation; Clustering algorithms; Clustering methods; Couplings; Data analysis; Gene expression; Inspection; Noise reduction; Pattern analysis; Performance evaluation;
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
DOI :
10.1109/ICBBE.2009.5162382
