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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data

Fig. 2

ROC (top) and PR (bottom) curves for each method applied to the simulated datasets. The results obtained from the Sim1 dataset are shown on the left (a & c) and the Sim2 dataset is shown on the right (b & d). Diagonal black lines on the ROC curves are baselines indicating the prediction level equivalent to a random guess (a & b). ROC curves showed that when the threshold changes and more edges are detected, both false positive and true positive rates increased, but the speed of this increase might not be the same. The PR curves show that when the detection thresholds decreased, the number of detected edges increased, with a corresponding increase in recall (more true edges are detected) but decrease in precision (increasing the number of detected edges that are not in the reference network)

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