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Table 1 Performance comparison using AUC for DEG identification (highly differentially expressed genes)

From: BADGE: A novel Bayesian model for accurate abundance quantification and differential analysis of RNA-Seq data

σ (τ) ν BADGE DESeq edgeR DSS EBSeq
0.75 0.001 0.939 0.921 0.919 0.881 0.928
(1.78)   (0.018) (0.017) (0.018) (0.055) (0.017)
  0.1 0.918 0.894 0.895 0.889 0.906
   (0.018) (0.018) (0.020) (0.024) (0.021)
1.5 0.001 0.925 0.881 0.875 0.809 0.890
(0.44)   (0.014) (0.029) (0.032) (0.082) (0.030)
  0.1 0.924 0.868 0.865 0.858 0.875
   (0.023) (0.027) (0.025) (0.027) (0.022)