Fig. 6: Precision-Recall trade-off.
From: A large-scale benchmark for network inference from single-cell perturbation data

Performance comparison in terms of Precision (in %; y-axis) and Recall (in %; x-axis) in correctly identifying edges substantiated by biological interaction databases (left panels); and our own statistical evaluation using interventional information in terms of Wasserstein distance and FOR (right panels). Performance is compared across 10 different methods using observational data (green markers), and 11 different methods using interventional data (pink markers) in K562 (top panels) and RPE1 (bottom panels) cell lines. For each method, we show the score of five independent runs.