Fig. 8
From: Stability of methods for differential expression analysis of RNA-seq data
Sensitivity, precision and AUCOR in the 3-versus-3 split of Bottomly dataset. We split Bottomly dataset into a 3-versus-3 evaluation dataset and 7-versus-8 verification dataset. We take the sets of DE genes for the verification dataset by all considered DE methods as truth (we exclude SAMseq, since it could hardly produce adjusted p-values less than 0.05). Finally, we have 6 true sets from different DE methods. We then calculate sensitivity and precision values for the results of the evaluation dataset using these 6 true sets in turn. DE method for the verification dataset is labeled on the top of each plot. a True set of DE genes from edgeR. b True set of DE genes from edgeR_robust. c True set of DE genes from DESeq_glm. d True set of DE genes from DESeq2. e True set of DE genes from EBSeq. f True set of DE genes from Voom.