Combining heterogeneous data sources for accurate functional annotation of proteins

BMC Bioinformatics

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

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.

ISSN: 1471-2105