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Table 3 Performance comparison using AUC for DEG identification (weakly 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

0.793

0.656

0.680

0.603

0.687

(1.78)

 

(0.099)

(0.058)

(0.084)

(0.133)

(0.031)

 

0.1

0.778

0.659

0.663

0.695

0.684

  

(0.092)

(0.043)

(0.062)

(0.075)

(0.049)

1.5

0.001

0.806

0.641

0.647

0.635

0.669

(0.44)

 

(0.080)

(0.028)

(0.071)

(0.134)

(0.029)

 

0.1

0.823

0.687

0.680

0.724

0.682

  

(0.109)

(0.072)

(0.063)

(0.104)

(0.073)

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BMC Bioinformatics

ISSN: 1471-2105

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