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Table 4 Simulation result for 100 nodes tree by comparing CBDN with other methods by AUC

From: Reconstructing directed gene regulatory network by only gene expression data

Covariance

ARACNE

CLR

GENIE3

TIGRESS

CBDN

(a) Simulation without

 

any noise

 

0.1

0.7445

0.8674

0.9388

0.8394

0.9804

0.2

0.9976

0.9995

1

0.8632

0.9231

0.4

1

1

1

0.8676

0.9792

0.6

1

1

1

0.8872

1

0.8

1

1

0.8426

0.9018

1

(b) Simulation with

 

1/3 random noise

 

0.1

0.6929

0.7572

0.8303

0.7765

0.8333

0.2

0.9561

0.9915

0.9992

0.8615

0.9894

0.4

1

1

1

0.8745

0.9875

0.6

1

1

1

0.9071

0.9905

0.8

1

0.9992

1

0.9511

0.9965

(c) Simulation with 2/3

 

random noise

 

0.1

0.4874

0.6362

0.6480

0.6547

0.9756

0.2

0.7527

0.8294

0.8867

0.8169

0.9794

0.4

0.9737

0.9871

0.9976

0.8843

0.9938

0.6

0.9990

0.9996

0.9998

0.9237

0.9907

0.8

0.9520

0.9973

0.9979

0.9123

0.9965