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Table 4 Effects of seed domain-disease associations based on leave-one-out cross-validation experiments.

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

Criteria Cutoff Random Control (%) Linkage Interval (%) Genome-wide Scan (%)
Precision 90% 28.28 (0.42) 33.45 (1.57) 5.34 (0.33)
  80% 27.42 (0.76) 32.06 (1.44) 4.79 (0.47)
  70% 27.43 (1.06) 29.59 (0.93) 3.97 (0.74)
  60% 25.68 (1.04) 30.11 (1.10) 3.58 (0.58)
  50% 25.85 (0.73) 28.47 (0.89) 5.35 (1.22)
Mean Rank Ratio 90% 10.90 (0.78) 8.98 (0.64) 10.16 (0.81)
  80% 11.23 (0.84) 9.37 (0.92) 10.38 (1.02)
  70% 11.68 (1.21) 10.09 (1.05) 10.61 (0.69)
  60% 12.37 (0.97) 9.21 (1.01) 10.76 (0.80)
  50% 13.47 (0.55) 9.72 (0.98) 10.95 (0.78)
AUC 90% 89.92 (0.30) 90.83 (0.58) 89.87 (0.61)
  80% 89.60 (0.22) 90.26 (0.43) 89.66 (0.29)
  70% 89.15 (0.17) 89.40 (0.64) 89.46 (0.48)
  60% 88.48 (0.59) 90.01 (0.51) 89.32 (0.34)
  50% 87.31 (0.28) 89.89 (0.46) 89.16 (0.75)
  1. The small domain-domain interaction network composed of the PDB part of the DOMINE database and the diffusion kernel are used to obtain the results. Results for random controls are mean (standard deviation) of 10 validation runs.