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We adjusted for multiple tests by implementing a permutation procedure as done in [21] and using 20,000 permutations.
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This was done by implementing a permutation-based testing procedure.
This was done by implementing a permutation-based test that compares the observed WNC i with an (empirical null) distribution of random WNC i, random values.
By implementing a permutation-based semi-supervised principal component analysis algorithm using the optimal principal component, we selected sixty-four passociatedsociated with hepatitis B virus (HBV -positive HBV -positivee (p < 0.01), from our microarray dataset composed of 142 HCC-positive HCCs.
The linkage group wide and genome wide significance thresholds for LOD scores were determined by implementing a bootstrapping method with 10000 permutation iterations at p = 0.01 and 0.05.
Chromosome-wide and genome wide significance thresholds were estimated by implementing a bootstrapping method at p = 0.05 and 0.01 [ 34], with a permutation test set to 10,000 iterations [ 35].
FAM-MDR therefore implements a permutation strategy by simply randomly permuting the familial correlation-free residuals (2) obtained in FAM-MDR Part I.
To assess whether interference acts on different types of recombination events we implemented a permutation test for adjacent recombination events as suggested by Mancera et al. (2008).
Here, we applied TSM to MLAS, and implemented a permutation procedure to estimate the empirical p value of TSM statistic.
In this study, we implemented a permutation procedure to estimate the empirical p value of TSM statistic.
We implemented a permutation method to approximate the probability of attaining such a result due to random chance.
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