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This solution of the sample size problem for an exact test will permit experimentalists to plan efficient sampling designs, determine the extent of statistical support for their hypotheses, and gain insight into the repeatability of their results.
P-values are computed for an exact test of the simple null hypothesis that x is B(n, p0) distributed.
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The DEG elimination strategy we proposed here could be applied for many other combinations of methods, e.g., the use of an exact test for NB distribution [ 22] for detecting potential DEGs at step 2. A more extensive study with other recently proposed methods (e.g., Ref. [ 27]) based on many real datasets should still be performed.
SNPs that deviated from Hardy-Weinberg Equilibrium (HWE) based on the minimum p-value from an exact test for HWE [ 24] and the stratified test for HWE [ 25] (p-values < 0.001); SNPs with call rates < 95%; or SNPs with minor allele frequencies (MAFs) < 5% were removed from the analysis.
For example, the R package edgeR [ 17] uses the TMM method [ 16] for data normalization and an exact test for negative binomial (NB) distribution [ 22] for gene ranking.
It is now common for bioinformaticians to use an exact test for deviation from Hardy-Weinberg equilibrium (HWE) to help detect genotyping error and major violations of the Hardy-Weinberg assumptions.
Tests for Hardy-Weinberg equilibrium (HWE) were performed for each SNP using an exact test (Wigginton et al. 2005) implemented in the computer program Haploview Barrettt et al. 2005).
Finally, differential expression is assessed for each gene using an exact test analogous to Fisher's exact test, but adapted for overdispersed data (Robinson and Smyth, 2008).
Genotyping counts were tested for Hardy Weinberg equilibrium using an exact test.
We tested for Hardy Weinberg equilibrium using an exact test based on genotypic frequencies.
Observed heterozygosity (HO) and expected heterozygosity (HE) were calculated for each locus and an exact test of Hardy-Weinberg equilibrium (HWE) using 100,000 steps in a Markov chain was performed using ARLEQUIN.
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