The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
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Comparison of Functions for Filtering Time Course Gene Expression Data with Flat Patterns

무 변화 패턴을 갖는 시간경로 유전자발현자료를 제거하기 위한 함수들의 비교

  • Kim, Kyung-Sook (Department of Statistics, Chonnam National University) ;
  • Oh, Mi-Ra (Department of Statistics, Chonnam National University) ;
  • Baek, Jang-Sun (Department of Statistics, Chonnam National University) ;
  • Son, Young-Sook (Department of Statistics, Chonnam National University)
  • Published : 2007.07.31
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Abstract

Filtering genes that do not appear to contribute to regulation prior to the statistical analysis of time course gene expression data can reduce the dimensions of data and the possibility of misinterpretation due to noise or lack of variation. In this paper, we compare six different functions for filtering genes with flat pattern under the percentile criterion on an observed sample and that on a bootstrap sample. The result of applying to the yeast cell cycle data shows that the variance function is most similar in both samples.

시간경로 유전자 발현자료에 대한 본격적인 통계분석을 수행하기에 앞서 의미있는 정보를 제공하지 못할 것으로 여겨지는 유전자들은 선별하여 미리 제거함으로서 자료의 차원을 축소시킬 수 있을 뿐 아니라, 잡음이나 변이가 낮은 자료로 인한 잘못된 판단을 감소시킬 수 있다. 본 논문에서는 관측표본에 대한 백분위수 기준과 붓스트랩 표본에 대한 백분위수 기준 하에서 무 변화 패턴을 갖는 유전자들을 제거시킬 수 있는 기존의 필터링 함수들을 비교하였다. 이스트(yeast) 자료에 적용하여 두 가지 필터링 방식에 대해 가장 유사한 결과를 보인 것은 분산 함수였다.

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References

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