DocumentCode
3542948
Title
Kernel based integration of Gene expression and DNA copy number
Author
Handhayani, Teny ; Wasito, Ito ; Sadikin, M. ; Ranny
Author_Institution
Fac. of Comput. Sci., Univ. Indonesia, Depok, Indonesia
fYear
2013
fDate
28-29 Sept. 2013
Firstpage
303
Lastpage
308
Abstract
Kernel based integration data of gene expression and DNA copy number is used to analyze pattern of genes in breast cancer cell line. The integration data is clustered without any information about the number of k clusters. This paper proposes the use of intelligent kernel K-Means that is developed by combining intelligent K-Means and kernel K-Means. The technique is used to cluster data integration of gene expression and DNA copy number. The experiment results show that there are three clusters are successes to be found. Evaluation measure produce R value is 0.29.
Keywords
DNA; biology computing; cancer; data integration; pattern clustering; DNA copy number; breast cancer cell line; gene expression; intelligent k-means; kernel based integration data; kernel k-means; Breast cancer; DNA; Data integration; Gene expression; Indexes; Kernel; Vectors; data integration; fully unsupervised clustering; intelligent kernel K-Means;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Science and Information Systems (ICACSIS), 2013 International Conference on
Conference_Location
Bali
Type
conf
DOI
10.1109/ICACSIS.2013.6761593
Filename
6761593
Link To Document