Publications

Lin Gui, Yuchao Jiang, Jingshu Wang (2025). Aggregating Dependent Signals with Heavy-Tailed Combination Tests. Biometrika.

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Jin-Hong Du, Tianyu Chen, Ming Gao, Jingshu Wang (2024). Joint Trajectory Inference for Single-cell Genomics Using Deep Learning with a Mixture Prior. Proceedings of the National Academy of Sciences.

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Soumyabrata Kundu, Peng Ding, Xinran Li, Jingshu Wang (2024). Sensitivity Analysis for the Test-Negative Design. ArXiv.

Zixuan Wu, Jingshu Wang (2024). Interpretation of two-sample Mendelian randomization for binary exposures and outcome. BioRXiv.

Zixuan Wu, Ethan Lewis, Qingyuan Zhao, Jingshu Wang (2024). Causal Mediation Analysis for Time-varying Heritable Risk Factors with Mendelian Randomization. Nature Communication, accepted.

Bowei Kang, Yalan Yang, Kaining Hu, Xiangbin Ruan, Yi-Lin Liu, Pinky Lee, Jasper Lee, Jingshu Wang*, Xiaochang Zhang* (2023). Infernape uncovers cell type--specific and spatially resolved alternative polyadenylation in the brain. Genome Research.

Jingshu Wang, Lin Gui, Weijie J. Su, Chiara Sabatti, Art B. Owen (2022). Detecting Multiple Replicating Signals using Adaptive Filtering Procedures. The Annals of Statistics.

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Dongyue Xie, Jingshu Wang (2022). Robust Statistical Inference for Cell Type Deconvolution. ArXiv.

Jingshu Wang, Qingyuan Zhao, Jack Bowden, Gibran Hemani, George Davey Smith, Dylan S. Small, Nancy R. Zhang (2021). Causal Inference for Heritable Phenotypic Risk Factors Using Heterogeneous Genetic Instruments. PLOS Genetics.

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Qingyuan Zhao, Jingshu Wang, Zhen Miao, Nancy R Zhang, Sean Hennessy, Dylan S Small, Daniel J Rader (2021). A Mendelian randomization study of the role of lipoprotein subfractions in coronary artery disease. eLife.

Xiangbin Ruan, Bowei Kang, Cai Qi, Wenhe Lin, Jingshu Wang*, Xiaochang Zhang* (2021). Progenitor cell diversity in the developing mouse neocortex. Proceedings of the National Academy of Sciences.

Bowei Kang, Eroma Abeysinghe, Divyansh Agarwal, Quanli Wang, Sudhakar Pamidighantam, Mo Huang, Nancy R Zhang, Jingshu Wang (2020). Online Single-cell RNA-seq Data Denoising with Transfer Learning. PEARC20: Practice and Experience in Advanced Research Computing.

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Zilu Zhou, Chengzhong Ye, Jingshu Wang, Nancy R. Zhang (2020). Surface protein imputation from single cell transcriptomes by deep neural networks. Nature Communications.

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Qingyuan Zhao, Jingshu Wang, Gibran Hemani, Jack Bowden, Dylan S. Small (2020). Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score. Annals of Statistics.

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Divyansh Agarwal, Jingshu Wang, Nancy R. Zhang (2020). Data Denoising and Post-Denoising Corrections in Single Cell RNA Sequencing. Statistal Science.

Qingyuan Zhao, Yang Chen, Jingshu Wang, Dylan S. Small (2019). Powerful genome-wide design and robust statistical inference in two-sample summary-data Mendelian randomization. International Journal of Epidemiology.

Qingyuan Zhao, Jingshu Wang, Wes Spiller, Jack Bowden, Dylan S. Small (2019). Two-Sample Instrumental Variable Analyses Using Heterogeneous Samples. Statistical Science.

Jingshu Wang, Divyansh Agarwal, Mo Huang, Gang Hu, Zilu Zhou, Chengzhong Ye, Nancy R. Zhang (2019). Data denoising with transfer learning in single-cell transcriptomics. Nature Methods.

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Jingshu Wang, Art B. Owen (2019). Admissibility in Partial Conjunction Testing. Journal of the American Statistical Association.

Jingshu Wang, Mo Huang, Eduardo Torre, Hannah Dueck, Sydney Shaffer, John Murray, Arjun Raj, Mingyao Li, Nancy R. Zhang (2018). Gene expression distribution deconvolution in single-cell RNA sequencing. Proceedings of the National Academy of Sciences.

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Mo Huang, Jingshu Wang, Eduardo Torre, Hannah Dueck, Sydney Shaffer, Roberto Bonasio, John I. Murray, Arjun Raj, Mingyao Li, Nancy R. Zhang (2018). SAVER: gene expression recovery for single-cell RNA sequencing. Nature Methods.

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Jingshu Wang, Qingyuan Zhao, Trevor Hastie, Art B. Owen (2017). Confounder adjustment in multiple hypothesis testing. Annals of Statistics.

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Art B. Owen, Jingshu Wang (2016). Bi-Cross-Validation for Factor Analysis. Statistal Science.

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