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Table 3 AUC for the yeast gold-standard PPI data sets using a combination of GO aspects

From: ppiPre: predicting protein-protein interactions by combining heterogeneous features

 

Binary data set

Co-complex data set

MF

√

√

 

√

√

√

 

√

BP

√

 

√

√

√

 

√

√

CC

 

√

√

√

 

√

√

√

Wang

0.924

0.880.

0.926

0.927

0.768

0.929

0.940

0.938

IntelliGO

0.912

0.804

0.899

0.914

0.792

0.877

0.890

0.895

TCSS

0.712

0.702

0.699

0.735

0.768

0.923

0.897

0.934

  1. Tests were performed using a combination of three GO aspects. We define similarity between two proteins as the maximum similarity found between any two GO terms that annotate them. The best ROC scores for each data set are in bold.