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To control the FDR, we corrected for multiple testing using the Benjamini-Hochberg method62.
The red lines in a and c indicate the significance threshold after correction for multiple testing using the Bonferroni method.
ANOVA p values were adjusted for multiple testing using the Benjamini and Hochberg FDR correction.
P-values where corrected for multiple testing using the false-discovery-rate approach [29].
Calculated p-values are adjusted for multiple testing using the Benjamini Hochberg method [12].
Obtained p-values were corrected for multiple testing using a false discovery rate (FDR) method [16].
Fisher-combined p-values can be further corrected for multiple testing using the Bonferroni correction.
P values were corrected for multiple testing using the method of Bonferroni and Holm.
We controlled for multiple testing using the false discovery rate test [FDR, 41], [42].
P-values were adjusted for multiple testing using the Benjamini-Hochberg linear step-up procedure [25].
The results were corrected for multiple testing using the FDR_BH [58].
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