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. 2020 Nov 28;37(10):1339–1344. doi: 10.1093/bioinformatics/btaa970

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Fig. 1. — Overview of DeepHiC method. (A) The workflow of this study. (B) The overall architecture of DeepHiC. The sequences of each fragment pair were merged and converted to a one-hot matrix with 10 000 rows for 10 kb bins. The matrix can be viewed as a gray image and used as the input to feed to the CNN model. (C) DeepHiC functional score was defined as the difference between the two predicted interaction probabilities (Y_A1 calculated using the reference allele A1 and Y_A2 calculated using the other allele A2)