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

Gianinna Ardaneswari, Alhadi B., Devvi Sarwinda

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number012046
JournalJournal of Physics: Conference Series
Volume893
Issue number1
DOIs
Publication statusPublished - 28 Oct 2017
EventAsian Mathematical Conference 2016, AMC 2016 - Nusa Dua, Bali, Indonesia
Duration: 25 Jul 201629 Jul 2016

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