Skip to main content

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 0.0050.05, ** represents 0.00050.005, *** represents <0.0005
\