Journal
BMC BIOINFORMATICS
Volume 7, Issue -, Pages -Publisher
BMC
DOI: 10.1186/1471-2105-7-106
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Funding
- NHLBI NIH HHS [N01HV28183, N01-HV-28183] Funding Source: Medline
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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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