In the analysis of thousands of genes with only a small number of samples, a major challenge facing functional genomics is the assessment of statistical significance, that is, determining how many findings are false or the estimated rate of false-positive results. We describe a simple permutation method to evaluate exactly the genome-wide significance level, acknowledging both multiple comparisons and small sample sizes. We illustrate this method through an application to a study of leukemia.