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After adjustment for multiplicity testing, none of these factors were associated with the distribution of the CNAs.
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These p values represent the p values corrected for multiplicity testing (see details in "Methods").
The significant cTFBSs with a p-value (corrected for multiplicity testing) < 0.05 were selected.
Considering multiplicity testing issues, comparisons were controlled using the false discovery rate at the 5% test level [ 24].
First, it faces the problem of multiplicity from multiple testing.
This has been called the multiple testing problem or the problem of multiplicity [ 8].
Because of multiple testing, a 99%% confidence interval was applied to adjust for multiplicity.
No adjustment was made for the multiplicity of testing.
The simpler one-dimensional measure, gene maximum multiplicity alone, provides none of this information.
Based on Bonferroni correction for multiplicity of testing, differences at P < 0.00714 were considered significant.
No correction of p values for multiplicity of testing will be undertaken.
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