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Table 4 Average performance of different methods on the DREAM4 10-gene networks

From: Fast Bayesian inference for gene regulatory networks using ScanBMA

Method

Precision

AUROC

AUPRC

TP

FP

LASSO

0.190

0.731

0.487

62

265

ebdbnet

0.509

0.704

0.438

28

27

ARACNE

0.304

0.668

0.388

35

80

CLR

0.215

0.681

0.397

50

183

MRNET

0.215

0.709

0.409

53

193

ScanBMA

0.432

0.740

0.505

35

46

  1. ScanBMA was run with the original data. The true positive (TP) and false positive (FP) columns are totaled across all 5 networks. There are 71 true edges across the 5 networks.
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BMC Systems Biology

ISSN: 1752-0509

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