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Genes|November 2, 2019
HiCNN2: Enhancing the Resolution of Hi-C Data Using an Ensemble of Convolutional Neural NetworksTong Liu, Zheng WangBioinformatics (Oxford, England)|May 7, 2019
HiCNN: a very deep convolutional neural network to better enhance the resolution of Hi-C dataTong Liu, Zheng WangBMC Bioinformatics|July 8, 2020
MASS: predict the global qualities of individual protein models using random forests and novel statistical potentialsTong Liu, Zheng WangBMC Bioinformatics|December 3, 2019
Exploring the 2D and 3D structural properties of topologically associating domainsTong Liu, Zheng WangBMC Bioinformatics|December 29, 2018
Reconstructing high-resolution chromosome three-dimensional structures by Hi-C complex networksTong Liu, Zheng WangBioinformatics (Oxford, England)|November 30, 2017
scHiCNorm: a software package to eliminate systematic biases in single-cell Hi-C dataTong Liu, Zheng WangPlos Computational Biology|July 13, 2023
DeepChIA-PET: Accurately predicting ChIA-PET from Hi-C and ChIP-seq with deep dilated networksTong Liu, Zheng WangBriefings in Bioinformatics|July 21, 2023
HiC4D: forecasting spatiotemporal Hi-C data with residual ConvLSTMTong Liu, Zheng WangGenes|June 24, 2022
scHiCEmbed: Bin-Specific Embeddings of Single-Cell Hi-C Data Using Graph Auto-EncodersTong Liu, Zheng WangBMC Genomics|January 1, 2020
normGAM: an R package to remove systematic biases in genome architecture mapping dataTong Liu, Zheng WangPageof 962