HiCNN 2
:: DESCRIPTION
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.
HiCNN2 is an improved version of our previously developed tool HiCNN for enhancing resolution of Hi-C data and uses three architectures to learn the mapping between low-resolution and high-resolution Hi-C contact matrices.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux
- Perl
:: DOWNLOAD
:: MORE INFORMATION
Citation
Tong Liu and Zheng Wang.
HiCNN2: Enhancing the Resolution of Hi-C Data Using an Ensemble of Convolutional Neural Networks.
Genes, 2019, 10(11):862.
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.