Skip to main content

Table 2 Performance of the Bayesian regression approach on individual data sources.

From: Integrating multiple protein-protein interaction networks to prioritize disease genes: a Bayesian regression approach

 

Random Control

Linkage Interval

 

Mean Rank Ratio (SD)

AUC (SD)

Mean Rank Ratio

AUC

HPRD

0.1349 (0.0004)

0.8738 (0.0004)

0.1353

0.8720

BioGRID

0.1466(0.0003)

0.8620 (0.0003)

0.1495

0.8577

BIND

0.1557(0.0007)

0.8528 (0.0008)

0.1556

0.8517

IntAct

0.1618(0.0004)

0.8466 (0.0004)

0.1623

0.8448

MINT

0.1665(0.0006)

0.8419 (0.0006)

0.1674

0.8398

  1. Results are obtained using diffusion kernel (γ= 0.2) with Bayesian prior µ= 0 and σ i = 1 (for i ≥ 1). Results for the validation of random controls are mean (standard deviation) of 10 independent runs.