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Final P-values were corrected using the Bonferroni correction for multiple hypotheses testing [ 18].
The hypergeometric distribution and the Bonferroni correction for multiple hypotheses were employed to correct p- values.
Bonferroni correction for multiple hypotheses was used for correcting p values.
Mann–Whitney U test was used to identify gene alterations associated with drug sensitivity with p values and Benjamini Hochberg correction for multiple hypotheses testing.
Benjamini-Hochberg correction for multiple hypotheses testing was applied to all tests.
Microarray data were also statistically analyzed using Welch's test and Bonferroni correction for multiple hypotheses testing.
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In this paper, all p-values were corrected with Bonferroni correction for multiple hypothesis testing.
p values were computed for the RA-treated and melan-a ΔCt values compared by T test to the untreated B16 ΔCt values and corrected by Bonferroni correction for multiple hypothesis testing.
We then tested all the keyword annotations (from UniProt) that are most statistically significant according to their P-value (P-value is calculated according to the hypergeometric distribution and corrected by Bonferroni correction for multiple hypothesis testing).
After correction for multiple hypothesis testing, InVEx identified only PTCH1 (Patched 1) as having a significant functional mutation burden.
This finding remained significant after Bonferroni correction for multiple hypothesis testing.
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