Which method has been developed for assignment of enhancers to target genes?
While genomic assays can identify putative enhancers en masse, assigning target genes is a complex challenge. McEnhancer is a machine learning approach, which links target genes to putative enhancers via a semi-supervised learning algorithm that predicts gene expression patterns based on enriched sequence features. Predicted expression patterns were 73-98% accurate, predicted assignments showed strong Hi-C interaction enrichment, enhancer-associated histone modifications were evident, and known functional motifs were recovered.