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http://dx.doi.org/10.6109/jkiice.2010.14.10.2365

An Intelligent System of Marker Gene Selection for Classification of Cancers using Microarray Data  

Park, Su-Young (조선대학교 컴퓨터통계학과)
Jung, Chai-Yeoung (조선대학교)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.14, no.10, 2010 , pp. 2365-2370 More about this Journal
Abstract
The method of cancer classification based on microarray could contribute to being accurate cancer classification by finding differently expressing gene pattern statistically according to a cancer type. Therefore, the process to select a closely related informative gene with a particular cancer classification to classify cancer using present microarray technology with effect is essential. In this paper, the system can detect marker genes to likely express the most differentially explaining the effects of cancer using ovarian cancer microarray data. And it compare and analyze a performance of classification of the proposed system with it of established microarray system using multi-perceptron neural network layer. Microarray data set including marker gene that are selected using ANOVA method represent the highest classification accuracy of 98.61%, which show that it improve classification performance than established microarray system.
Keywords
Microarray; t-test; ANOVA; MLP(Multi-Layer Perceptron);
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