HiCNN

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HiCNN is a computational method for resolution enhancement of Hi-C data. It uses a very deep convolutional neural network (54 layers) to learn the mapping between low-resolution and high-resolution Hi-C contact matrices.

News

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We recently developed HiCNN2 (an improved version of HiCNN).

Download

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Source code for HiCNN can be downloaded here.

Reference

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Tong Liu and Zheng Wang. HiCNN: A very deep convolutional neural network to better enhance the resolution of Hi-C data. Bioinformatics, 2019, 35(21):4222-4228.

Contact

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For any questions or suggestions, please contact:
Dr. Zheng Wang
Department of Computer Science
University of Miami