Accuracy of clustering in Training and Test-18 sets.

†) TP: FLIP found in Cluster 1TN: FUNC found in Cluster 2FP: FUNC found in Cluster 1FN: FLIP found in Cluster 2The accuracy and Matthews correlation coefficient (MCC, a measure of the quality of a binary classification) of the results of the clusterings shown in Figure 4 are indicated. The overall accuracy is 76% and 78% for both training Test-18 sets, respectively. TPs are quite readily identified in both training and Test-18 sets (80% and 69% sensitivity, respectively). The majority of TPs are enzymes and immunoglobin heavy chain-light chain interactions. TNs are less well identified (70% and 56% negative predictive values, respectively). MCCs of 0.50 and 0.62 indicate that our simple two-category approach is generally appropriate.