DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes
Fig 4
Comparison of chromatin loops within individual cell types.
(a) Distance distribution of DLoopCaller identified chromatin loops from Hi-C contact maps by using CTCF ChIA-PET, H3K27ac HiChIP, SMC1 HiChIP, RAD ChIA-PET, and promoter Capture Hi-C data after training on GM12878. (b) Venn diagram of DLoopCaller identified chromatin loops determined by CTCF ChIA-PET and H3K27ac HiChIP experiments in GM12878. (c) The proportion of CTCF ChIA-PET interactions and H3K27ac HiChIP interactions types for GM12878. The proportion of identified chromatin loops types using CTCF ChIA-PET data and H3K27ac HiChIP after training for GM12878.