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Mean PLVs differed significantly, in a pattern similar to that found using the permutation tests.
By using the permutation tests, the minimum LOD scores to declare as significant the putative QTL for resistance to C. personatum were estimated as 8.7 and 18.5 for the 2003/2004 and the 2004/2005 trials, respectively.
The empirical distribution of |CCR| was obtained by using the permutation tests and a threshold value was considered as a cut-off value at a significant level (P < 0.05) to screen out the significant miRNA-mRNA dysregulated relationships.
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For each of the 1000 cases, the rotational symmetries of the two data sets were compared using the permutation test with 1000 permutations per test, and the power was calculated as the fraction of times that the permutation test correctly rejected the null hypothesis of similar symmetries (using a significance level of 0.05).
Subsequently, this model was internally validated using the permutation testing routine [35].
Using the permutation test method, with 10,000 permutations, we found 10 miRNAs were strongly correlated with survival (p≤0.005).
The relationship between body-shape and swimming performance was tested by comparing the variable vector with the shape vector, using the permutation test available in TpsPls.
To establish differences in gene expression between tissue groups, both gene-by-gene statistical testing using the permutation test with t statistics and singular value decomposition (SVD) of the data matrix were employed.
In addition, the possibility of over-fitting was tested using the permutation test [ 11, 12, 15].
By using the permutation test we made no assumption about the distribution under the null hypothesis.
The threshold at 5% significance level was estimated using the permutation test implemented in R/qtl.
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