Skip to main content
Fig. 9 | BMC Bioinformatics

Fig. 9

From: Integration of anatomy ontology data with protein–protein interaction networks improves the candidate gene prediction accuracy for anatomical entities

Fig. 9

The network performance comparisons between non-randomized and randomized networks for zebrafish. The boxplot comparisons of the AUC distributions for a ROC and b precision–recall curves for the filtered non-randomized anatomy-based gene network, randomized profile anatomy-based gene network, and fully randomized anatomy-based gene network for the Wang method for the zebrafish. The boxplot comparisons of the AUC distributions for c ROC and d precision–recall curves for the filtered non-randomized integrated network, randomized profile integrated network, and fully randomized integrated network for the Wang method for the zebrafish. In the boxplots, the red line and the square represent the median and mean, respectively, and the name of the best performing network is underlined

Back to article page