HiCNN

HiCNN


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.


Download


Source code for HiCNN can be downloaded here

.

Reference


Tong Liu and Zheng Wang. HiCNN: A very deep convolutional neural network to better enhance the resolution of Hi-C data. Bioinformatics, 2019, btz251.

Contact


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