Fig. 4
From: A statistical method for the conservative adjustment of false discovery rate (q-value)
Three applications to experimental genome-wide expression data. a A microarray data set collected for a type 2 diabetes study. b A RNA sequencing (RNA-seq) data set collected for a prostate cancer study in The Cancer Genome Atlas (TCGA) project. c A microarray data set collected for a pancreatic islet study. The curves represent q-value (as estimated FDR) vs. its related number of identified genes. In each application, dark solid curve represents original (unadjusted) q-values and dark dashed curve represents conservatively adjusted q-values