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Multiple test correction must be used when appropriate and described in detail in the manuscript.
Multiple test correction was performed by adjusting the calculated p values according to Benjamini-Hochberg method.
Benjamini-Hochberg multiple test correction of the P values was performed to calculate adjusted P values (Padj < 0.01 was used as threshold of significance).
A multiple test correction with Bonferroni procedure was performed.
The multiple hypothesis test correction in this case is a Bonferroni correction [16].
The most restrictive multiple hypothesis test correction is the Bonferroni correction.
Differently than in [10] we fix the univariate statistical threshold θ first and then perform a multiple hypothesis test correction.
We have used a multiple hypothesis test correction needed to avoid false positive in the statistical validation of networks [11].
Benjamini-Hochberg adjustment was applied for multiple test correction.
No multiple test correction has been applied to the p-values.
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For this, we have used the Holm's test correction.
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