Fig. 3 | Nature Communications

Fig. 3

From: Genome-scale identification of transcription factors that mediate an inflammatory network during breast cellular transformation

Fig. 3

AccessTF, a Bayesian network model to identify TF binding sites. a Steps of computational analyses for identifying transcription factor binding sites using DNase-seq data. b AccessTF integrates motif strength, distance to the closest transcription start site, Phastcon conservation score and surrounding DNase-seq reads. See Methods for a detailed description. c Area under ROC curves (ROC AUC) and Area under Precisions-Recall Curves (PR AUC) for measuring the performance of AccessTF predicting the STAT binding status. d STAT motifs grouped by predicted binding probabilities and plotted against STAT3 binding levels in 400 nt region around the motifs (estimated by ChIP-seq data) after transformation. For the box plot, the bounds of the box represent the first and third quartiles and the center line represents the median. e Comparing features of STAT motifs with predicted bound P-value < 10−6 vs. others

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