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Significance assessment is based on random permutations.
As described below, each pairwise comparison involved applying a non-parametric test based on random permutations between the single-trial TMS-evoked potentials of the two sessions.
Within each population, linkage disequilibrium was tested between loci based on random permutations of genotypes performed with the software FSTAT [39] and followed by a Bonferroni correction for multiple tests.
SAM performs a moderated t-test on two user-selected groups of microarray datasets, and returns a set of discriminant genes ranked in descending order by d, the t-statistic, and calculates a false discovery rate (FDR) based on random permutations of the data labels (see Methods).
Thus, the significance tests were based on random permutations of matrices as is appropriate for relational data.
The observed value of the association index is tested against the H0 of complete spatial independence of the counts (based on random permutations).
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Software and published work based on random permutation methods, including network-based research, typically define between 1 K and 10 K random samples for networks of similar or larger size [ 17, 19].
We therefore conducted pathway analysis which derived an enrichment score for all genes in a pathway and compared this with the distribution under null hypothesis based on random permutation.
The block pseudo-random intereaver construction based on random search is designed using permutations on each row.
For this we used the 'switching permutation' method proposed by Ciriello et al. [ 17], which adopts a Markov chain Monte Carlo permutation strategy based on random network generation models.
The statistical significance of NES score is estimated by a permutation test based on random shuffling of the phenotype or tag (gene) labels.
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