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Table 4 SVM classification using different data sources

From: Learning virulent proteins from integrated query networks

Data source

AUC

AmiGO

0.886

BioCyc

0.807

CDD

0.876

GenNav

0.940

InterPro

0.883

Kegg

0.795

Kegg (pathways)

0.815

Pdb

0.875

TigrFam

0.872

  1. Above are results by source, when empty graphs (query graphs with no returned results) are excluded from training and testing; the scores are thus those of each source given data from that source was available.