Statistical Analysis of a Small Scale Time-Course Microarray Experiment

被引：0

作者：

Lee, Keun-Young ^{[1
]}

Yang, Sang-Hwa ^{[2
]}

Kim, Byung-Soo ^{[1
]}

机构：

[1] Yonsei Univ, Dept Appl Stat, 134 Shinchon Dong, Seoul 120749, South Korea

[2] Yonsei Univ, Coll Med, Canc Metastasis Res Ctr, Seoul 120749, South Korea

来源：

KOREAN JOURNAL OF APPLIED STATISTICS | 2008年 / 21卷 / 01期

关键词：

Small scale time-course microarray; quadratic regression method; maSigPro; STEM; false discovery rate;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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%.

引用

页码：65 / 80

页数：16

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