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Table 1 The ROC score of different methods in pathway membership prediction for all ontologies. NN is neural network model, NN 1/0 is neural network model that use binary representation of GO terms as features. The number of layers in neural network are three and the

From: Predicting metabolic pathway membership with deep neural networks by integrating sequential and ontology information

Methods BP CC MF
NN 0.953 0.849 0.895
NN 1/0 0.941 0.847 0.870
cosine 0.931 0.762 0.677
SVM 0.920 0.768 0.843
RF 0.935 0.837 0.887
KNN 0.830 0.780 0.806
Resnik 0.829 0.667 0.790
SimGIC 0.902 0.735 0.717