A simple method for assessing sample sizes in microarray experiments

被引：66
|
作者：
Tibshirani, R [1 ]
机构：
[1] Stanford Univ, Hlth Res & Policy, Stanford, CA 94305 USA
来源：
BMC BIOINFORMATICS | 2006年 / 7卷 / 1期
关键词：
False Discovery Rate; False Negative Rate; Pilot Data; Gene Score; Permutation Distribution;
D O I：
10.1186/1471-2105-7-106
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Background: In this short article, we discuss a simple method for assessing sample size requirements in microarray experiments. Results: Our method starts with the output from a permutation-based analysis for a set of pilot data, e. g. from the SAM package. Then for a given hypothesized mean difference and various samples sizes, we estimate the false discovery rate and false negative rate of a list of genes; these are also interpretable as per gene power and type I error. We also discuss application of our method to other kinds of response variables, for example survival outcomes. Conclusion: Our method seems to be useful for sample size assessment in microarray experiments.
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页数：6
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