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The resulting P values have to be corrected for multiple comparisons (e.g., by utilizing the false discovery rate (FDR) [ 78]), followed by correction for multiple comparisons at cluster level [ 79].
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We utilized the default false discovery rate (FDR) corrections in both EdgeR and gProfiler.
In Cufflinks and gProfiler we utilized the default false discovery rate (FDR) corrections.
Apart from detecting peptides from proteins several times in different colonies (Dataset S3), confidence in our identification methodology was measured by controlling the false discovery rate (estimated to be about 0.25%) utilizing a decoy strategy.
As the topological analysis identified close to 300 proteins for each of the proteomic profiles, we utilized 10 sets of 300 randomly selected genes from the genome to measure the false discovery rate of the results.
Thus, to control the false discovery rate we use Benjamini-Hochberg procedure [59].
Specifically we have used the false discovery rate correction.
We used the false discovery rate to correct for thisi.
The new approach controls the false discovery rate (FDR), the fraction of false positives among all detected voxels.
We study here testing via the false discovery rate (FDR) and Bonferroni methods.
The false discovery rate (FDR) was used to correct the multiple comparisons.
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CEO of Professional Science Editing for Scientists @ prosciediting.com