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These p values represent the p values corrected for multiplicity testing (see details in "Methods").
We used Fisher's exact right-side test based on hypergeometric distribution and corrected for multiplicity testing by the Bonferroni method.
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].
After adjustment for multiplicity testing, none of these factors were associated with the distribution of the CNAs.
Adjusting for multiplicity testing using Bonferroni methodology, which is the most conservative approach, the adjusted statistical significance corresponds to an alpha risk of 0.025.
Similar(51)
The minimum false discovery rate (FDR) at which each null hypothesis could be rejected using the method of Benjamini and Hochberg (1995) is also provided as a conservative statistical adjustment for the multiplicity of testing multiple gene models.
First, it faces the problem of multiplicity from multiple testing.
Multiplicity of testing with 47 biomarkers in an individual sample also has unique statistical challenges in the imputation of missing data and interpretation of analyses.
No adjustment was made for the multiplicity of testing.
Nominal P values are presented without adjustment for multiplicity of testing.
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