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Journal of the American Statistical Association|July 9, 2026
An AI-powered Bayesian Generative Modeling Approach for Causal Inference in Observational StudiesQiao Liu, Wing Hung WongProceedings of the National Academy of Sciences of the United States of America|May 29, 2024
An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studiesQiao Liu, Zhongren Chen, Wing Hung WongNature Machine Intelligence|June 28, 2021
Simultaneous deep generative modeling and clustering of single cell genomic dataQiao Liu, Shengquan Chen, Rui Jiang, et al.Proceedings of the National Academy of Sciences of the United States of America|June 12, 2025
Improving polygenic prediction from whole-genome sequencing data by leveraging predicted epigenomic featuresWanwen Zeng, Hanmin Guo, Qiao Liu, et al.Proceedings of the National Academy of Sciences of the United States of America|April 9, 2021
Density estimation using deep generative neural networksQiao Liu, Jiaze Xu, Rui Jiang, et al.Nucleic Acids Research|October 10, 2022
HiChIPdb: a comprehensive database of HiChIP regulatory interactionsWanwen Zeng, Qiao Liu, Qijin Yin, et al.Genomics, Proteomics & Bioinformatics|March 16, 2022
DeepCAGE: Incorporating Transcription Factors in Genome-wide Prediction of Chromatin AccessibilityQiao Liu, Kui Hua, Xuegong Zhang, et al.Genome Biology|December 19, 2024
EpiGePT: a pretrained transformer-based language model for context-specific human epigenomicsZijing Gao, Qiao Liu, Wanwen Zeng, et al.Biorxiv : the Preprint Server for Biology|July 28, 2023
EpiGePT: a Pretrained Transformer model for epigenomicsZijing Gao, Qiao Liu, Wanwen Zeng, et al.Genome Biology|May 16, 2022
Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREGZhana Duren, Fengge Chang, Fnu Naqing, et al.Pageof 107