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A two-stage method for identifying a smaller subset of genes in microarray data

Moharnad, Mohd. Saberi and Omatu, Sigeru and Deris, Safaai and Yoshioka, Michifuci (2008) A two-stage method for identifying a smaller subset of genes in microarray data. Jurnal Teknologi Maklumat, 20 (2). pp. 153-162. ISSN 0128-3790

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Microarray data measured by microarray are useful for cancer classification. However, it faces with several problems in selecting genes for the classification due to many irrelevant genes, noisy data, and the availability of a small number of samples compared to a huge number of genes (high-dimensional data). Hence, this paper proposes a two-stage gene selection method to select a smaller (near-optimal) subset of informative genes that is most relevant for the cancer classification. It has two stages: 1) pre-selecting genes using a filter method to produce a subset of genes; 2) optimising the gene subset using a multi-objective hybrid method to automatically yield a smaller subset of informative genes. Two microarray data sets are used to test the effectiveness of the proposed method. Experimental results show that the performance of the proposed method is superior to other experimental methods and related previous works.

Item Type:Article
Uncontrolled Keywords:cancer classification, filter method, gene selection, genetic algorithm, hybrid method, microarray data
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Computer Science and Information System (Formerly known)
ID Code:9429
Deposited By: Ms Zalinda Shuratman
Deposited On:24 Nov 2009 01:55
Last Modified:03 Jun 2014 06:38

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