Figure 5From: Mycobacterium tuberculosis and Clostridium difficille interactomes: demonstration of rapid development of computational system for bacterial interactome predictionNumber of novel interactions at different levels of precision. (A) Observed number of novel predictions in the Mtb interactome uncovered at varying level of estimated precisions. For example, at 90% precision, the algorithm uncovers 786 novel interactions and 1,068 known interactions; at expected 80% precision it uncovers 1,595 novel interactions and 1,488 known interactions. The threshold on the random forest output that corresponds to each of the precisions shown in the figure: 0.88 (90% precision), 0.79 (80%), 0.67 (70%) and 0.49 (60%).(B) Observed number of novel predictions in the CD interactome uncovered at varying level of estimated precisions. For example, at 90% precision, the algorithm uncovers 143 novel interactions and 812 known interactions; at expected 80% precision it uncovers 580 novel interactions and 1,587 known interactions. The threshold on the random forest output that corresponds to each of the precisions shown in the figure: 0.98 (90% precision), 0.86 (80%), 0.66 (70%) and 0.58 (60%).Back to article page