Table 2

Performances on agree and not agree subset of predictions

Q2

P[D]

S[D]

P[N]

S[D]

C

AUC

PM


SEQ∩3D

0.87

0.85

0.89

0.89

0.84

0.74

0.93

91

SEQ-3D

0.66

0.70

0.70

0.62

0.62

0.32

0.71

9

3D-SEQ

0.34

0.38

0.30

0.30

0.38

-0.32

0.35

9


SEQ∩3D indicates the subset of agree predictions between SVM-3D and SVM-SEQ. SEQ-3D and 3D-SEQ are respectively the predictions of SVM-SEQ and SVM-3D on the not agree prediction subset. The accuracy measures are defined in Methods section. PM is the fraction of the dataset. D and N are disease-related and neutral variants respectively.

Capriotti and Altman BMC Bioinformatics 2011 12(Suppl 4):S3   doi:10.1186/1471-2105-12-S4-S3

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