Implementation of plaid model biclustering method on microarray of carcinoma and adenoma tumor gene expression data

被引:6
|
作者
Ardaneswari, Gianinna [1 ]
Bustamam, Alhadi [1 ]
Sarwinda, Devvi [1 ]
机构
[1] Univ Indonesia, Fac Math & Nat Sci, Depok 16424, Indonesia
来源
ASIAN MATHEMATICAL CONFERENCE 2016 (AMC 2016) | 2017年 / 893卷
关键词
D O I
10.1088/1742-6596/893/1/012046
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
A Tumor is an abnormal growth of cells that serves no purpose. Carcinoma is a tumor that grows from the top of the cell membrane and the organ adenoma is a benign tumor of the gland-like cells or epithelial tissue. In the field of molecular biology, the development of microarray technology is used in the data store of disease genetic expression. For each of microarray gene, an amount of information is stored for each trait or condition. In gene expression data clustering can be done with a bicluster algorithm, thats clustering method which not only the objects to be clustered, but also the properties or condition of the object. This research proposed Plaid Model Biclustering as one of biclustering method. In this study, we discuss the implementation of Plaid Model Biclustering Method on microarray of Carcinoma and Adenoma tumor gene expression data. From the experimental results, we found three biclusters are formed by Carcinoma gene expression data and four biclusters are formed by Adenoma gene expression data.
引用
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页数:8
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