Additional file 7: of Evaluation of methods for differential expression analysis on multi-group RNA-seq count data

Dendrogram of average-linkage hierarchical clustering for 12 ranked gene lists. Twelve ranked gene lists used for constructing the dendrogram were obtained from the analysis of the simulation data under the following conditions: PDEG = 5 %, (0.5, 0.4, 0.1) for (PG1, PG2, PG3), and Nrep = 9. The clustering was performed using the “clusterSample” function with distances defined as (1 - Spearman’s rank correlation coefficient). EBSeq showed the highest AUC values (=96.83 %) in this simulation trial, followed by EEE-E (96.45 %), E-E (96.42 %), DDD-D (96.35 %), D-D (96.31 %), baySeq (96.21 %), edgeR_robust (95.13 %), S-S (94.54 %), SSS-S (94.43 %), PoissonSeq (94.07 %), voom (92.70 %), and SAMseq (92.23 %). (PNG 6 kb