Kernel based integration of Gene expression and DNA copy number

Teny Handhayani, Ito Wasito, Mujiono Sadikin, Ranny

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Pages303-308
Number of pages6
DOIs
Publication statusPublished - 1 Jan 2013
Event2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 - Bali, Indonesia
Duration: 28 Sep 201329 Sep 2013

Conference

Conference2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013
Country/TerritoryIndonesia
CityBali
Period28/09/1329/09/13

Keywords

  • data integration
  • fully unsupervised clustering
  • intelligent kernel K-Means

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