Publications

Dongyue Xie, Lin Gui, Jingshu Wang (2026). Statistical Inference for Cell Type Deconvolution. The Journal of the Royal Statistical Society, Series B, accepted.

Zixuan Wu, Yunqi Yang, Aabesh Bhattacharyya, Matthew Stephens, Jingshu Wang (2025). Improving estimation efficiencies for family-based GWAS by integrating large external data. medRXiv.

Qiyuan Liu, Qirui Zhang, Jin-Hong Du, Siming Zhao, Jingshu Wang (2025). Effects of Distance Metrics and Scaling on the Perturbation Discrimination Score. ArXiv.

Lin Gui, Tiantian Mao, Jingshu Wang, Ruodu Wang (2025). Validity and Power of Heavy-Tailed Combination Tests under Asymptotic Dependence. ArXiv.

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

Code Paper Preprint

Zixuan Wu, Ethan Lewis, Qingyuan Zhao, Jingshu Wang (2025). Causal Mediation Analysis for Time-varying Heritable Risk Factors with Mendelian Randomization. Nature Communication.

Code Paper Preprint

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.

Code Paper Preprint

Zixuan Wu, Jingshu Wang (2024). Validity and Interpretation of Two-Sample Mendelian Randomization with Binary Traits. BioRXiv.

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

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.

Code Paper Preprint

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.

Code Preprint Paper

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.

Paper SAVER-X Gateway

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

Code Paper Preprint

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.

Code Paper Preprint

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.

Code Paper Website Preprint

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.

Code Paper Preprint

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.

Code Paper Preprint

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

Code Paper Preprint

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

Code Paper Preprint