Identification of High-Impact cis-Regulatory Mutations Using Transcription Factor Specific Random Forest Models
Fig 4
Validation of classifiers by genome-wide CRM prediction.
After genome-wide CRM scoring, removing the training CRMs, we evaluated the enrichment of ChIP-seq peaks of the corresponding TF, and the enrichment of motifs of the corresponding TF, within the top 1000 newly predicted CRMs. Enrichment is calculated by i-cisTarget [28], and represented as a Normalized Enrichment Score (NES). A) Significant enrichment of ChIP-seq peaks (orange color corresponds to NES>2.5) for 31/45 M1 models, compared to 17/45 of the Mk models. B) The motif of the respective TF is also enriched in the top 1000 newly predicted functional CRMs, for those in orange (NES>2.5).