Table 3

Comparison of generalized classification across sources
Data source Classification method
SVM(RBF) Ridge regr. kNN
AmiGO 0.894 0.907 0.867
BioCyc 0.698 0.687 0.679
CDD 0.729 0.760 0.755
GenNav 0.940 0.935 0.878
InterPro 0.846 0.804 0.832
Kegg 0.733 0.778 0.779
Kegg (pathways) 0.740 0.739 0.717
Pdb 0.740 0.737 0.710
TigrFam 0.688 0.702 0.704

Results by source and method for predicting virulent and non-virulent bacterial proteins given AUC. The best performer, GenNav was run with a Gaussian kernel whose σ = 1.0 and regularization cost C = 1.0. For each method, the best performing classification approach is bolded.

Cadag et al.

Cadag et al. BMC Bioinformatics 2012 13:321   doi:10.1186/1471-2105-13-321

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