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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Control procedures and estimators of the false discovery rate and their application in low-dimensional settings: an empirical investigation

Fig. 1

CKDGen data example – Number of significant p-values (regions) in replication set. Applied procedures controlling the type I error: Bonferroni correction (BO), Hommel’s procedure (HO), Benjamini-Yekutieli’s procedure (BY), Strimmer’s LFDR method (LFDR), Benjamini-Hochberg’s procedure (BH), Two-stage procedure (TSBH), Strimmer’s q-value method (qv Str), Storey’s q-value method (qv Sto). Results are ordered by number of significant p-values leading to a separation of FDR methods from FWER methods (indicated by dashed line). Additional significant p-values from one approach to another are indicated by decreasing gray shades within the bars

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BMC Bioinformatics

ISSN: 1471-2105

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