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Table 3 Comparison of different methods on the DREAM4 in-silico size 100 challenge networks

From: PFBNet: a priori-fused boosting method for gene regulatory network inference

Method

iRafNet

HiDi

Winner

PFBNet

Data used

TS, KO

TS, KO

KO

TS, KO

Metrics

AUPR

AUROC

AUPR

AUROC

AUPR

AUROC

AUPR

AUROC

Network_1

0.552

0.901

0.63

0.916

0.536

0.914

0.639

0.935

Network_2

0.337

0.799

0.448

0.868

0.377

0.801

0.486

0.89

Network_3

0.414

0.835

0.413

0.797

0.39

0.833

0.469

0.886

Network_4

0.421

0.847

0.491

0.852

0.349

0.842

0.524

0.881

Network_5

0.298

0.792

0.251

0.803

0.213

0.759

0.448

0.866

  1. The highest averaged AUPR and AUROC values are marked in bold for each network. TS, time-series expression data; KO, knockout data