Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
권호 표지

Comparison of clustering with yeast microarray gene expression data

효모 마이크로어레이 유전자발현 데이터에 대한 군집화 비교

  • Lee, Kyung-A (Department of Statistics, Duksung Women's University) ;
  • Kim, Jae-Hee (Department of Statistics, Duksung Women's University)
  • 이경아 (덕성여자대학교 정보통계학과) ;
  • 김재희 (덕성여자대학교 정보통계학과)
  • Received : 2011.05.16
  • Accepted : 2011.07.12
  • Published : 2011.08.01
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Abstract

We accomplish clustering analyses for yeast cell cycle microarray expression data. We compare model-based clustering, K-means, PAM, SOM and hierarchical Ward method with yeast data. As the validity measure for clustering results, connectivity, Dunn Index and silhouette values are computed and compared.

마이크로어레이 유전자 발현데이터인 효모데이터를 이용하여 군집분석을 실시하였다. 모형기반 군집방법, K-평균법, 중앙값 중심분포 (PAM), 자기 조직화 지도 (SOM), 계층적 Ward 군집방법을 이용하여 군집화를 실시하고, 연결성 측도 (connectivity), Dunn지수, 실루엣 측도 (silhouette)를 이용하여 각 군집방법에 대한 유효성을 측정하고 군집분석 결과를 비교하고자한다.

Keywords

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