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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.
No relationship between the specified pathways simplifies the correction for multiple hypothesis testing.
A less stringent correction for multiple hypothesis testing is the False Discovery Rate (FDR) [15].
This finding remained significant after Bonferroni correction for multiple hypothesis testing.
Correction for multiple hypothesis testing was performed with FDR using the Q-value 1.0 software [41].
Fifteen of the 35 candidate RBPs were significant at this level (without correction for multiple hypothesis testing).
Two-sided P-values <0.05 were considered to provide nominal evidence for association and are presented without correction for multiple hypothesis testing.
Therefore, the chance of a false positive result is significantly less when the KEGG database is used and less strict correction for multiple hypothesis testing is required.
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CEO of Professional Science Editing for Scientists @ prosciediting.com