The Algorithm Design and Implement of Microarray Data Classification using the Byesian Method

베이지안 기법을 적용한 마이크로어레이 데이터 분류 알고리즘 설계와 구현

  • 박수영 (조선대학교 컴퓨터통계학과) ;
  • 정채영 (조선대학교 컴퓨터통계학과)
  • Published : 2006.12.30


As development in technology of bioinformatics recently makes it possible to operate micro-level experiments, we can observe the expression pattern of total genome through on chip and analyze the interactions of thousands of genes at the same time. Thus, DNA microarray technology presents the new directions of understandings for complex organisms. Therefore, it is required how to analyze the enormous gene information obtained through this technology effectively. In this thesis, We used sample data of bioinformatics core group in harvard university. It designed and implemented system that evaluate accuracy after dividing in class of two using Bayesian algorithm, ASA, of feature extraction method through normalization process, reducing or removing of noise that occupy by various factor in microarray experiment. It was represented accuracy of 98.23% after Lowess normalization.


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