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Table 3 Classifier performance in predicting GO terms in mouse, quantified by area under the ROC curve (AUC) and precision at 20% recall (P20R).

From: Combining heterogeneous data sources for accurate functional annotation of proteins

Namespace   AUC    P20R  
Cross-species 0.90 0.67 0.81 0.52 0.16 0.42
Species-specific 0.86 0.83 0.86 0.42 0.29 0.46
Multi-view 0.91 0.81 0.88 0.57 0.30 0.58
Chain 0.89 0.82 0.87 0.51 0.28 0.52
  1. The cross-species classifier uses only sequence data; the species-specific classifier uses a collection of genomic data--PPI, gene expression, and protein-GO term co-mention mined from the biomedical literature. The multi-view and chain classifiers are two approaches for integrating cross-species and species-specific data. The presented values are averages across all GO terms considered in a particular namespace. The results were obtained using five-fold cross-validation.