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Table 4 Comparison of different methods on the E.coli datasets (without utilizing the information from prior data)

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

Method

GEINE-lag

Jump3

BiXGBoost

PFBNet

Data used

TS

TS

TS

TS

Metrics

AUPR

AUROC

AUPR

AUROC

AUPR

AUROC

AUPR

AUROC

Cold

0.011

0.465

0.014

0.535

0.021

0.665

0.028

0.673

Heat

0.012

0.48

0.013

0.513

0.02

0.651

0.044

0.68

Oxidative-stress

0.011

0.458

0.021

0.558

0.018

0.624

0.032

0.671

  1. The highest averaged AUPR and AUROC values are marked in bold for each network
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BMC Bioinformatics

ISSN: 1471-2105

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