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Table 2 AUC value comparison

From: Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model

Network model

Method

AUC50

AUC100

AUC300

AUC500

AUC700

AUC1000

Heterogeneous network

CIPHER-DN

0.2332***

0.2439***

0.2510***

0.2524***

0.2530***

0.2535***

 

CIPHER-SP

0.2068***

0.2478***

0.3112***

0.3369***

0.3568***

0.3790***

 

RWRH

0.2382***

0.2849***

0.3849***

0.4503**

0.4922**

0.5388**

 

PRINCE

0.2632*

0.3065*

0.3787**

0.4247***

0.4594***

0.5092***

 

BIRW

0.2615*

0.3082*

0.4095*

0.4653

0.5068*

0.5513*

 

Katz

0.2101***

0.2726***

0.3831**

0.4451*

0.4838**

0.5289**

 

CATAPULT

0.1370***

0.1957***

0.3148***

0.3803***

0.4315***

0.4875***

NoN

CR

0.2711*

0.3235

0.4244

0.4815

0.5233

0.5665

NoSN a

CRstar

0.2900

0.3408

0.4347

0.4890

0.5331

0.5779

NoSN b

CRstar

0.2900

0.3400

0.4355

0.4882

0.5331

0.5798

 

WCRstar

0.2906

0.3409

0.4384

0.4973

0.5415

0.5863

  1. aNoSN with one set of tissue-specific GCNs. bNoSN with two sets of tissue-specific GCNs. The p-value ranges: * represents 0.005∼0.05, ** represents 0.0005∼0.005, *** represents <0.0005