13. Tong Liu and Zheng Wang. MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials. BMC Bioinformatics, 2020, 21:246 . |
12. Tong Liu and Zheng Wang. normGAM: an R package to remove systematic biases in genome architecture mapping data. BMC Genomics, 2019, 20(12):1006. |
11. Tong Liu and Zheng Wang. Exploring the 2D and 3D structural properties of topologically associating domains. BMC Bioinformatics 20, 592 (2019) doi:10.1186/s12859-019-3083-z. |
10. 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. |
9. Tong Liu, et al. TADKB: Family classification and a knowledge base of topologically associating domains. BMC Genomics 2019, 20(1):217. |
8. Ilaria Palmisano, et al. Epigenomic signatures underpin the axonal regenerative ability of dorsal root ganglia sensory neurons. Nature neuroscience, 2019, 22(11):1913-1924. |
7. 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. |
6. Joseph Luttrell, et al. Predicting protein residue-residue contacts using random forests and deep networks. BMC Bioinformatics 2019, 20(2):100. |
5. Tong Liu and Zheng Wang. Reconstructing high-resolution chromosome three-dimensional structures by Hi-C complex networks. BMC Bioinformatics 2018, 19(17):496. |
4. Tong Liu and Zheng Wang. SOV_refine: A further refined definition of segment overlap score and its significance for protein structure similarity. Source Code for Biology and Medicine,(2018) 13:1. |
3. Tong Liu and Zheng Wang. scHiCNorm: a software package to eliminate systematic biases in single-cell Hi-C data. Bioinformatics 2018;34(6):1046-1047. |
2. Tong Liu, et al. Benchmarking deep networks for predicting residue-specific quality of individual protein models in CASP11. Sci. Rep. 2016;6, 19301. |
1. Yiheng Wang, et al. Predicting DNA Methylation State of CpG Dinucleotide Using Genome Topological Features and Deep Networks. Sci. Rep. 2016;6, 19598. |