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Identification of novel prostate cancer drivers using RegNetDriver: a framework for integration of genetic and epigenetic alterations with tissue specific regulatory network

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Figure

Fig. 1 Flow chart of the three-step computational model for identifying genetic and epigenetic alterations causing large perturbations in theEpigenomics Mapping Consortium,tissue-specific regulatory network
Fig. 2 Schematic of DHS-based prostate regulatory network.enhancers were identified using 2065 motifs and PIQ
Fig. 3 ain the prostate epithelial networks of RegNetDriver ( Area under receiver operator characteristic curve, b Area under precision-recall curve (AUPRC), and c F scores for TF–target gene edgesblue) and Marbach et al
Fig. 4 (See legend on next page.)
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