DeepHiC: A generative adversarial network for enhancing Hi-C data resolution
Fig 4
Analyses of significant chromatin interactions identified by Fit-Hi-C software.
(a) Three representative sub-regions (1 Mb × 1 Mb) from chromosomes 17 and 22 (GM12878 cell line), with significant loci-pairs (cut-off is the 0.5 percentile of q-values) being marked with yellow points in the upper triangle of the heatmaps. (b) All q-values were treated as significance matrices. The Pearson correlations of q-values for non-experimental data vs. real Hi-C data at various genomic distances are presented. Missing values are NaN values derived by python (numpy). (c) We evaluated the overlap of significant loci-pair with real Hi-C data at each distance, using the preset cut-off. (d) We evaluated the overlap of all significant loci-pairs with various cut-off values, with respect to the false discovery rate which ranges from 0.001 to 0.05. (e) ROC analysis of overlap between interactions from CTCF ChIA-PET with identified interacting peaks from real high-resolution, downsampled, HiCPlus/HiCNN-enhanced, and DeepHiC-enhanced Hi-C matrices in the K562 cell line.