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There is a roughly twofold enrichment of transcripts (445 observed vs. 227 expected based on permutations) with expression less than −2 in the actual vs. permuted dataset, suggesting on the order of 198 transcript/TE pairs are impacted out of 4886.
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We compare designs based on column substitutions and designs based on permutations.
Significance assessment is again based on permutations.
As with the other methods, inference is based on permutation of the case-control status.
The last column of Table 2 depicts Monte Carlo p-values based on permutation tests (9999 permutations) for comparison of LS ¯ for the Poisson (IS) GLMM with LS ¯ if the remaining competing models are chosen for data analysis.
Tests of significance were based on permutation procedures.
Based on permutation tests, 5 significant QTL were detected in the field data by the regression method compared with 10 by the maximum likelihood method (P < 0.05).
The LOD threshold was obtained based on permutation test (1000 permutations, P = 0.05) for each data set.
Existing methods are based on permutation.
P-values were determined based on permutation analysis using 1,000 permutations.
We also devised a number of tests based on permutation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com