Intelligent K-Means clustering for expressed genes identification linked to malignancy of human colorectal carcinoma

M. Anwar Ma'Sum, Ito Wasito, Adi Nurhadiyatna

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

Cancer is one kind of deadly disease. Colorectal carcinoma is one type of cancer which is difficult to detect in its early stage. It has dangerous malignancy in its advance stage. Identify gene expressed and cancer linked to phenotype is an effort to identify and analyze correlation of genes and clinical phenotype (metastasis). In this paper Intelligent K-Means is used to cluster genes expression. It is a non parametric clustering that more powerful and more stable than GMM clustering which is used in previous research. After getting clusters of genes, then correlation ratio is used to identify whether genes in a cluster has a correlation with clinical metastasis. As the result in this paper, genes in cluster C and cluster E have correlation with normal-cancer tissue metastasis and distant metastasis. But, there is no cluster of genes has correlation with lymph node metastasis.

Original languageEnglish
Pages437-443
Number of pages7
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
CountryIndonesia
CityBali
Period28/09/1329/09/13

Keywords

  • Intelligent K-Means
  • clustering
  • correlation ratio
  • human colorectal carcinomaa
  • metastasis

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