Sample Size Choice for Microarray Experiments

Author(s):  
Peter Müller ◽  
Christian Robert ◽  
Judith Rousseau ◽  
Marina Vannucci
2011 ◽  
Vol 81 (7) ◽  
pp. 870-875 ◽  
Author(s):  
Akihiro Hirakawa ◽  
Chikuma Hamada ◽  
Isao Yoshimura

2003 ◽  
Vol 16 (1) ◽  
pp. 24-28 ◽  
Author(s):  
M. C. K. Yang ◽  
J. J. Yang ◽  
R. A. McIndoe ◽  
J. X. She

Gene expression analysis using high-throughput microarray technology has become a powerful approach to study systems biology. The exponential growth in microarray experiments has spawned a number of investigations into the reliability and reproducibility of this type of data. However, the sample size requirements necessary to obtain statistically significant results has not had as much attention. We report here statistical methods for the determination of the sufficient number of subjects necessary to minimize the false discovery rate while maintaining high power to detect differentially expressed genes. Two experimental designs were considered: 1) a comparison between two groups at a single time point, and 2) a comparison of two experimental groups with sequential time points. Computer programs are available for the methods discussed in this paper and are adaptable to more complicated situations.


2009 ◽  
Vol 10 (1) ◽  
Author(s):  
Sin-Ho Jung ◽  
Insuk Sohn ◽  
Stephen L George ◽  
Liping Feng ◽  
Phyllis C Leppert

2005 ◽  
Vol 21 (15) ◽  
pp. 3264-3272 ◽  
Author(s):  
J. Hu ◽  
F. Zou ◽  
F. A. Wright

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