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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제6권 제3호
- 발행연도
- 2004.1
- 수록면
- 625 - 636 (12page)
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A common task in analyzing microarray data is to determine which genes are differentially expressed across two tissue samples, such as normal and tumor tissues, or samples obtained under two experimental conditions. In this paper, we point out a problem with previous method(Zhao and Pan, 2003) of constructing a null and test statistics. We propose resampling approach to construct test statistic as an alternative method. We also present results of simulation data and real data analysis.
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참고문헌 (22)
참고문헌 신청
/ 1973 / Information theory and an extension of the maximum likelihood principle 2nd International symposium on information theory : 267 ~ 281
/ 1977 / Maximum likelihood estimation from incomplete data via the EM algorithm Journal of Royal Statistical Society : 1 ~ 38
/ 1978 / Estimating the dimensions of a model 6 : 461 ~ 464
/ 1988 / Inference and Applications to clustering
/ 1992 / Numerical Recipes in C The art of Scientific Computing
/ 1977 / Maximum likelihood estimation from incomplete data via the EM algorithm Journal of Royal Statistical Society : 1 ~ 38
/ 1978 / Estimating the dimensions of a model 6 : 461 ~ 464
/ 1988 / Inference and Applications to clustering
/ 1992 / Numerical Recipes in C The art of Scientific Computing
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