응용통계연구 (The Korean Journal of Applied Statistics)

  • 제19권1호
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  • Pages.13-32
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  • 2006
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  • 1225-066X(pISSN)
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  • 2383-5818(eISSN)
한국통계학회 (The Korean Statistical Society)
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시간 경로 마이크로어레이 자료의 군집 분석에 관한 고찰

A Review of Cluster Analysis for Time Course Microarray Data

  • 손인석 (고려대학교 통계학과) ;
  • 이재원 (고려대학교 통계학과) ;
  • 김서영 (전남대학교 기초과학연구소)
  • Sohn In-Suk (Department of Statistics, Korea University) ;
  • Lee Jae-Won (Department of Statistics, Korea University) ;
  • Kim Seo-Young (Researcher, Research Institute for Basic Science, Chonnam National University)
  • 발행 : 2006.03.01
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⟨ 이전 논문 다음 논문 ⟩

초록

생물학자들은 시간에 따라 발현 수준이 변화하는 유전자의 군집화를 시도하고 있다. 지금까지는 마이크로어레이 자료의 군집분석에 관한 연구의 경우 군집 방법 자체를 비교하는 연구가 주를 이루었다. 그러나 군집화 이전에 의미있는 변화를 보이는 유전자 선택에 따라 군집화 결과가 달라지기 때문에, 군집 분석에 있어서 유전자 선택 단계도 중요하게 고려되어야 한다. 따라서, 본 논문에서는 시간 경로 마이크로어레이 자료를 군집 분석하는데 있어서 유전자 선택, 군집 방법 선택, 군집평가 방법 선택 등 3가지 요인을 고려한 폭 넓은 비교 연구를 하였다.

Biologists are attempting to group genes based on the temporal pattern of gene expression levels. So far, a number of methods have been proposed for clustering microarray data. However, the results of clustering depends on the genes selection, therefore the gene selection with significant expression difference is also very important to cluster for microarray data. Thus, this paper present the results of broad comparative studies to time course microarray data by considering methods of gene selection, clustering and cluster validation.

키워드

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