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
收藏
页码：65 / 80
页数：16
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