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Table 2 Representative results for MBCdeg with PDEG = 0.75 and P1 = 0.7

From: Differential expression analysis using a model-based gene clustering algorithm for RNA-seq data

 

DEG1

DEG2

non-DEG

Total

L2 Norm

(a) MBCdeg1 (AUC = 0.9329)

 First cluster

113

1971

345

2429

1.3039

 Second cluster

4941

140

557

5638

0.6636

 Third cluster

196

139

1598

1933

0.3145

(b) MBCdeg2 (AUC = 0.2421)

 First cluster

113

1979

344

2436

1.8909

 Second cluster

195

132

1600

1927

0.9017

 Third cluster

4942

139

556

5637

0.0762

Truth

5250

2250

2500

10,000

 
  1. The results for (a) MBCdeg1 and (b) MBCdeg2 in the same trial as described in Fig. 3 are shown. The results indicate that MBCdeg1 outperforms MBCdeg2
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BMC Bioinformatics

ISSN: 1471-2105

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