Measuring the three-dimensional structural properties of topologically associating domains. - Tong Liu; Zheng Wang 049 (BIBM, 2018)

scHiCNorm: a software package to eliminate systematic biases in single-cell Hi-C data. - Tong Liu; Zheng Wang 049 (Bioinform., 2018)

Reconstructing high-resolution chromosome three-dimensional structures by Hi-C complex networks. - Tong Liu; Zheng Wang 049 (BMC Bioinform., 2018)

SOV_refine: A further refined definition of segment overlap score and its significance for protein structure similarity. - Tong Liu; Zheng Wang 049 (Source Code Biol. Medicine, 2018)

HiCNN: a very deep convolutional neural network to better enhance the resolution of Hi-C data. - Tong Liu; Zheng Wang 049 (Bioinform., 2019)

SCL: a lattice-based approach to infer 3D chromosome structures from single-cell Hi-C data. - Hao Zhu; Zheng Wang 049 (Bioinform., 2019)

Exploring the 2D and 3D structural properties of topologically associating domains. - Tong Liu; Zheng Wang 049 (BMC Bioinform., 2019)

Predicting protein residue-residue contacts using random forests and deep networks. - Joseph Luttrell IV; Tong Liu; Chaoyang Zhang; Zheng Wang 049 (BMC Bioinform., 2019)

MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials. - Tong Liu; Zheng Wang 049 (BMC Bioinform., 2020)

ST-ChIP: Accurate prediction of spatiotemporal ChIP-seq data with recurrent neural networks. - Tong Liu; Zheng Wang 049 (BIBM, 2022)

DeepChIA-PET: Accurately predicting ChIA-PET from Hi-C and ChIP-seq with deep dilated networks. - Tong Liu; Zheng Wang 049 (PLoS Comput. Biol., 2023)

scHiMe: predicting single-cell DNA methylation levels based on single-cell Hi-C data. - Hao Zhu; Tong Liu; Zheng Wang 049 (Briefings Bioinform., 2023)

Learning Micro-C from Hi-C with diffusion models. - Tong Liu; Hao Zhu; Zheng Wang 049 (PLoS Comput. Biol., 2024)