Journal of the Korean Data and Information Science Society

한국데이터정보과학회 (The Korean Data and Information Science Society)
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마이크로어레이 자료에서 생존과 유의한 관련이 있는 유전자집단 검색

Detecting survival related gene sets in microarray analysis

  • Lee, Sun-Ho (Department of Applied Statistics, Sejong University) ;
  • Lee, Kwang-Hyun (Department of Applied Statistics, Sejong University)
  • 투고 : 2011.10.15
  • 심사 : 2011.12.06
  • 발행 : 2012.01.31
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초록

환자의 생존시간과 함께 유전자 마이크로어레이 자료가 주어진 경우 생존에 유의한 영향을 미치는 대사경로를 찾는 방법을 연구하였다. 기존의 방법인 유전자 집합 농축도 분석, 글로벌 검정과 왈드 형태 검정을 비교 분석하였고, 치환을 통하여 p값을 구하는 단점을 개선한 수정된 왈드 형태 검정을 제안하였다. 모의실험과 실제자료 분석을 이용하여 새로운 방법의 적용 가능성을 보였다.

When the microarray experiment developed, main interest was limited to detect differentially expressed genes associated with a phenotype of interest. However, as human diseases are thought to occur through the interactions of multiple genes within a same functional category, the unit of analysis of the microarray experiment expanded to the set of genes. For the phenotype of censored survival time, Gene Set Enrichment Analysis(GSEA), Global test and Wald type test are widely used. In this paper, we modified the Wald type test by adopting normal score transformation of gene expression values and developed a parametric test which requires much less computation than others. The proposed method is compared with other methods using a real data set of ovarian cancer and a simulation data set.

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참고문헌

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피인용 문헌

  1. A small review and further studies on the LASSO vol.24, pp.5, 2013, https://doi.org/10.7465/jkdi.2013.24.5.1077
  2. Microarray data analysis using relative hierarchical clustering vol.25, pp.5, 2014, https://doi.org/10.7465/jkdi.2014.25.5.999