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Table 7 Simulation I results

From: Integrative network analysis of TCGA data for ovarian cancer

p

|E|

β

N

P

TPR (skeleton)

FDR (skeleton)

50

100

0.5

500

46.0

0.298 (0.410)

0.468 (0.152)

   

1000

63.2

0.420 (0.627)

0.333 (0.063)

   

2000

78.4

0.600 (0.783)

0.273 (0.032)

  

1

500

78.2

0.550 (0.740)

0.294 (0.051)

   

1000

92.8

0.676 (0.910)

0.265 (0.019)

   

2000

98.4

0.781 (0.960)

0.236 (0.017)

100

200

0.5

500

110.6

0.260 (0.400)

0.528 (0.272)

   

1000

124.2

0.328 (0.557)

0.484 (0.104)

   

2000

168.4

0.590 (0.825)

0.291 (0.019)

  

1

500

163.2

0.539 (0.735)

0.349 (0.098)

   

1000

167.8

0.614 (0.892)

0.347 (0.018)

   

2000

194.4

0.768 (0.959)

0.216 (0.010)

200

400

0.5

500

252.6

0.225 (0.358)

0.647 (0.444)

   

1000

272.8

0.383 (0.597)

0.438 (0.132)

   

2000

326.4

0.546 (0.791)

0.337 (0.031)

  

1

500

347.2

0.535 (0.825)

0.377 (0.073)

   

1000

364.8

0.583 (0.872)

0.359 (0.044)

   

2000

396.4

0.698 (0.963)

0.294 (0.028)

  1. Presented in the table are the average number of predicted edges (P), true positive rate (TPR) and false discovery rate (FDR) for both directed and undirected (skeleton) edges over 10 replicated samples in each setting (p |E|, β, N). The number of edges |E| is set to be 2p.