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Figure 5 | BMC Bioinformatics

Figure 5

From: EnzML: multi-label prediction of enzyme classes using InterPro signatures

Figure 5

Comparison with InterPro2GO2EC and testing on TrEMBL. Left panel: The results of the internal cross-evaluation of the entire SwissProtKEGG and Swiss-Prot datasets are compared with the direct transitive annotation using InterPro2GO and EC2GO lists. The results of training on the SwissProtKEGG dataset and testing on the TrEMBLKEGG dataset are also included. The x axis (accuracy, precision, recall) starts at 50%. Right panel: Comparison of the EC digits in the predicted and actual EC numbers for the TrEMBLKEGG dataset. All predictions= all the EC annotations emitted by training on SwissProtKEGG and predicting the unlabelled TrEMBLKEGG (true positives, true negatives, false positives, false negatives). Correct predictions = only the predictions corresponding to true, correct annotations existing in TrEMBLKEGG (true positives and true negatives). Wrong predictions = false positives and false negatives. The data files used (SwissProtKEGG and TrEMBLKEGG) are available as Additional file 3. The full cross evaluation results are available in Additional file 7: all_cross_evaluation_results.csv

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