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Table 1 AUC results.

From: Inferring biological networks with output kernel trees

Inputs All TF vs. LF TF vs. TF Kern. (All)
Protein-protein interactions
expr 0.851 ± 0.028 0.859 ± 0.027 0.819 ± 0.082 0.776
phy 0.693 ± 0.036 0.698 ± 0.035 0.617 ± 0.064 0.767
loc 0.725 ± 0.018 0.726 ± 0.017 0.710 ± 0.055 0.788
expr+phy+loc 0 887 ± 0 024 0 891 ± 0 023 0 845 ± 0 081 -
y2h 0.790 ± 0.023 0.795 ± 0.022 0.692 ± 0.068 0.612
expr+phy+loc+y2h 0.910 ± 0.019 0.914 ± 0.017 0.865 ± 0.057 0.939
Metabolic network
expr 0.714 ± 0.032 0.732 ± 0.035 0.619 ± 0.089 0.706
Phy 0.815 ± 0.033 0.819 ± 0.031 0.721 ± 0.086 0.747
loc 0.587 ± 0.022 0.587 ± 0.022 0.592 ± 0.042 0.577
expr+phy+loc 0.847 ± 0.025 0.853 ± 0.025 0.733 ± 0.057 0.804
y2h 0.639 ± 0.033 0.650 ± 0.034 0.490 ± 0.098 -
expr+phy+loc+y2h 0.844 ± 0.025 0.851 ± 0.026 0.721 ± 0.056 -
  1. AUC results obtained with extra-trees and ten-fold cross-validation compared with full kernel-based methods. The best result in each row between tree-based and kernel-based methods (for all predictions) is underlined.