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Table 2 Results of leave-one-out cross-validation experiments on the large network.

From: DomainRBF: a Bayesian regression approach to the prioritization of candidate domains for complex diseases

   Random Control (%) Linkage Interval (%) Genome-wide Scan (%)
   R 2 BF R 2 BF R 2 BF
Precision SG 14.24 (0.37) 18.64 (0.66) 18.54 21.23 2.17 2.35
  DK 16.80 (0.36) 22.32 (0.60) 17.36 27.56 2.42 3.47
Mean Rank Ratio SG 27.27 (0.07) 19.59 (0.09) 21.89 18.07 26.53 18.79
  DK 26.07 (0.11) 14.96 (0.07) 20.21 14.12 25.34 14.11
AUC SG 73.41 (0.07) 81.15 (0.09) 78.57 81.76 73.38 81.09
  DK 74.61 (0.11) 85.82 (0.07) 82.36 86.68 74.55 85.72
  1. The large network indicates the domain-domain interaction network that is composed of the entire DOMINE database and high-confidence interactions in the InterDom database. R2 denotes the ordinary non-Bayesian linear regression approach (using R-square as scores for candidate domains). BF denotes the domainRBF approach (using Bayes factors as scores for candidate domains). SG denotes shortest path with Gaussian kernel. DK denotes diffusion kernel. Results for random controls are mean (standard deviation) of 10 validation runs.