Figure 3
From: Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
The precision v.s. recall curve for the 1X (left) and 2X (right) data sets, where precision = TP/(TP + FP) and recall = TP/(TP + FN). The blue curve (diamond markers) is generated from the results of our approach, the brown curve (× markers) is generated from the results of the Supervised-NaiveBayes approach (see Appendix 4), and the green curve (circle markers) is generated from the results of the NaiveBayesInNet classifier (see Appendix 5). The pink triangle shows the result obtained by the expressionOnly classifier. Error bars denote one standard deviation of the precision, over 100 random choices of negative examples. The increase in the standard deviation on precision at lower recall is due to the small number of predictions made for these thresholds.