Statistical Analysis for Detecting Differentially Expressed Genes

• 발행기관: 한국자료분석학회
• 저자명: Seo Young Kim
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.6 No.3, 625~636쪽, 전체 12쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2004.06.30

영문 초록

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.

목차

1. Introduction

2. Materials and Method

3. Results

4. Discussion and Conclusion

References

키워드

DNA microarray Differentially expressed gene Normal mixture model