응용통계연구 (The Korean Journal of Applied Statistics)

  • 제21권1호
  • /
  • Pages.65-80
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  • 2008
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  • 1225-066X(pISSN)
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  • 2383-5818(eISSN)
한국통계학회 (The Korean Statistical Society)
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소규모 경시적 마이크로어레이 실험의 통계적 분석

Statistical Analysis of a Small Scale Time-Course Microarray Experiment

  • 이근영 (연세대학교 응용통계학과) ;
  • 양상화 (연세대학교 의과대학 암전이 연구소) ;
  • 김병수 (연세대학교 응용통계학과)
  • Lee, Keun-Young (Dept. of Applied Statistics, Yonsei University) ;
  • Yang, Sang-Hwa (Cancer Metastasis Research Center, College of Medicine, Yonsei University) ;
  • Kim, Byung-Soo (Dept. of Applied Statistics, Yonsei University)
  • 발행 : 2008.02.29
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초록

소규모 경시적 마이크로어레이 실험이란 시점의 개수가 적은 경시적 마이크로어레이 실험으로서 현재까지 보고된 경시적 마이크로어레이 실험의 약 80%를 차지한다. 최근 들어 소규모 경시적 마이크로어레이 실험을 대상으로 하는 통계적 분석 방법이 몇 가지 제안되었다. 최근에 제안된 세 가지 방법들을 실제 소규모 경시적 마이크로어레이 실험자료에 적용하여 분석하고 모의실험 자료를 생성하여 각 방법들의 검정력과 위양성율을 비교해 보았다. 그 결과 낮은 위양성율을 보이는 STEM방법이 다른 방법에 비해서 우위에 있음이 드러났다.

Small scale time-course microarray experiments are those which have a small number of time points. They comprise about 80 percent of all time-course microarray experiments conducted up to 2005. Several statistical methods for the small scale time-course microarray experiments have been proposed. In this paper we applied three methods, namely, QR method, maSigPro method and STEM, to a real time-course microarray experiment which had six time points. We compared the performance of these three methods based on a simulation study and concluded that STEM outperformed, in general, in terms of power when the FDR was set to be 5%.

키워드

참고문헌

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