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Table 3 Average AUCs scores of gene prioritization on test set and validation set

From: Prioritizing disease genes with an improved dual label propagation framework

 

Performance on test set

Performance on validation set

 

AUC20

AUC50

AUC100

AUC20

AUC50

AUC100

CIPHER_SP

0.0029*

0.0046*

0.0066*

0

0

0

CIPHER_DN

0.0015*

0.0027*

0.0042*

0

0

0

RWR

0.0075*

0.0178*

0.0283*

0.0233

0.0358

0.0475

DK

0.0192*

0.0255*

0.0294*

0.0211

0.0306

0.0399

RWRH

0.0916*

0.1250*

0.1664*

0.2009

0.2724

0.3288

MINProp

0.0771*

0.1266*

0.1799*

0.1963

0.2625

0.3104

BiRW

0.0421*

0.0780*

0.1142*

0.1544

0.2180

0.26672

PRINCE

0.1117

0.1468

0.2088

0.1433

0.2137

0.2715

IDLP-G

0.0040*

0.0076*

0.0166*

0.0189

0.0348

0.0519

IDLP-P

0.1051*

0.1457

0.1897

0.2003

0.2592

0.3010

IDLP

0.1123

0.1492

0.1909

0.2004

0.2572

0.2990

  1. We compared AUCs when the number of false positive genes are up to 20, 50, 100
  2. *indicates IDLP significantly outperforms the baseline with p<0.05 using Student t-test