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Table 3 Results for MBCdeg with PDEG = 0.45 and P1 = 1.0

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 = 0.1195)

 First cluster

3269

0

391

3660

0.5717

 Second cluster

788

0

5081

5869

0.4541

 Third cluster

443

0

28

471

0.4100

(b) MBCdeg2 (AUC = 0.9547)

 First cluster

3894

0

589

4483

0.8698

 Second cluster

22

0

3

25

3.0380

 Third cluster

584

0

4908

5492

0.1118

Truth

4500

0

5500

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 MBCdeg2 outperforms MBCdeg1