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A Bayesian Validation Method for Classification of Microarray Expression Data  

Park, Su-Young (조선대학교 컴퓨터통계학과)
Jung, Jong-Pil (조선대학교 컴퓨터통계학과)
Jung, Chai-Yeoung (조선대학교 컴퓨터통계학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.10, no.11, 2006 , pp. 2039-2044 More about this Journal
Abstract
Since the bio-information now even exceeds the capability of human brain, the techniques of data mining and artificial intelligent are needed to deal with the information in this field. There are many researches about using DNA microarray technique which can obtain information from thousands of genes at once, for developing new methods of analyzing and predicting of diseases. Discovering the mechanisms of unknown genes by using these new method is expecting to develop the new drugs and new curing methods. In this Paper, We tested accuracy on classification of microarray in Bayesian method to compare normalization method's Performance after dividing data in two class that is a feature abstraction method through a normalization process which reduce or remove noise generating in microarray experiment by various factors. And We represented that it improve classification performance in 95.89% after Lowess normalization.
Keywords
microarray expression data; normalization; Bayesian validation method;
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