Kernel based integration of Gene expression and DNA copy number

Teny Handhayani; Ito Wasito; Mujiono Sadikin; Ranny

doi:10.1109/ICACSIS.2013.6761593

Kernel based integration of Gene expression and DNA copy number

Teny Handhayani, Ito Wasito, Mujiono Sadikin, Ranny

Department of Computer Science

Research output: Contribution to conference › Paper › peer-review

4 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 language	English
Pages	303-308
Number of pages	6
DOIs	https://doi.org/10.1109/ICACSIS.2013.6761593
Publication status	Published - 2013
Event	2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 - Bali, Indonesia Duration: 28 Sept 2013 → 29 Sept 2013

Conference

Conference	2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013
Country/Territory	Indonesia
City	Bali
Period	28/09/13 → 29/09/13

Keywords

data integration
fully unsupervised clustering
intelligent kernel K-Means

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10.1109/ICACSIS.2013.6761593

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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.",

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AU - Handhayani, Teny

AU - Wasito, Ito

AU - Sadikin, Mujiono

AU - Ranny,

PY - 2013

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N2 - 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.

AB - 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.

KW - data integration

KW - fully unsupervised clustering

KW - intelligent kernel K-Means

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DO - 10.1109/ICACSIS.2013.6761593

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T2 - 2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013

Y2 - 28 September 2013 through 29 September 2013

ER -

Kernel based integration of Gene expression and DNA copy number

Abstract

Conference

Keywords

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