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| Xin J, Zhang H, He Y, et al. (2020) Chromatin accessibility landscape and regulatory network of high-altitude hypoxia adaptation. Nature Communications. 11: 4928 |
| Li W, Duren Z, Jiang R, et al. (2020) A method for scoring the cell type-specific impacts of noncoding variants in personal genomes. Proceedings of the National Academy of Sciences of the United States of America |
| Duren Z, Chen X, Xin J, et al. (2020) Time course regulatory analysis based on paired expression and chromatin accessibility data. Genome Research |
| Zhang X, Hong D, Ma S, et al. (2020) Integrated functional genomic analyses of Klinefelter and Turner syndromes reveal global network effects of altered X chromosome dosage. Proceedings of the National Academy of Sciences of the United States of America |
| Zeng W, Chen X, Duren Z, et al. (2019) DC3 is a method for deconvolution and coupled clustering from bulk and single-cell genomics data. Nature Communications. 10: 4613 |
| Li W, Wong WH, Jiang R. (2019) DeepTACT: predicting 3D chromatin contacts via bootstrapping deep learning. Nucleic Acids Research |
| Li L, Wang Y, Torkelson JL, et al. (2019) TFAP2C- and p63-Dependent Networks Sequentially Rearrange Chromatin Landscapes to Drive Human Epidermal Lineage Commitment. Cell Stem Cell |
| Li Q, Zhao K, Bustamante CD, et al. (2019) Xrare: a machine learning method jointly modeling phenotypes and genetic evidence for rare disease diagnosis. Genetics in Medicine : Official Journal of the American College of Medical Genetics |
| Liu Y, Yu C, Daley TP, et al. (2018) CRISPR Activation Screens Systematically Identify Factors that Drive Neuronal Fate and Reprogramming. Cell Stem Cell |
| Daley TP, Lin Z, Lin X, et al. (2018) CRISPhieRmix: a hierarchical mixture model for CRISPR pooled screens. Genome Biology. 19: 159 |