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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.
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BMC Systems Biology

ISSN: 1752-0509

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