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Using the permutation p-value for the Enrichment Score (ES) as a cut-off, a total of 220 "gene sets" were differentially methylated at p = <0.01.
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GSEA uses the empirical way of estimating the permutation P-value based on e s and its permutation values e s 1*, e s 1*,…, e s N *.
Monte Carlo simulation, with the number of permutations set to 4,499, is used to calculate the permutation p value for each hypothesis test.
After the study is completed, the permutation P value can be calculated using the observed results with actual correlation structure.
Table 2 lists results for global gene-based tests of association with case/control status using the minimum p-value permutation (Min-P) test.
126 We will calculate adjusted p values using the permutation test described above based on predicted residuals from the algorithm.
Table 1 shows a comparison of odds ratios and P-values obtained using the permutation and sampling methods on the significantly and suggestively trait-associated SNPs.
We were able to reject the null hypothesis of rate homogeneity between the posterior samples based on the tRNA-coding sites and that based on the protein-coding sites at the 10% significance level using this permutation test (P-value = 0.06).
P-values were corrected using the permutation algorithm within the analysis tool.
Therefore, instead of the theoretical t-distribution, we use the permutation procedure to compute the p-value of an observed t-test [ 21].
In each permutation, we used the minimum p-value approach described above to assign p-values to genes with multiple probe sets.
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