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scEnhancer used an improved unsupervised learning method and a cis-network algorithm to identify enhancers and their target genes in hundreds of thousands of single cells. 5,843,865 enhancers and 15,000,014 enhancer-gene interactions are totally identified for 348 tissue/cell types in human, mouse, and fly. The information of all individual datasets in each tissue/cell type was also attached.
※Single-cell enhancers:
※SNPs with enhancers in all tissue/cell types:
※Super-enhancers annotated by dbSUPER:
※Disease enhancers annotated by HEDD:
※Enhancers annotated by GeneHancer:
※Enhancer-gene interactions in single-cell level:
※scATAC matrix in tissue/cell types:
※Detailed tissue/cell type information: