| Bayesian weighted Mendelian randomization for causal inference based on summary statistics J Zhao, J Ming, X Hu, G Chen, J Liu, C Yang Bioinformatics 36 (5), 1501-1508, 2020 | 111 | 2020 |
| Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics X Hu, J Zhao, Z Lin, Y Wang, H Peng, H Zhao, X Wan, C Yang Proceedings of the National Academy of Sciences 119 (28), e2106858119, 2022 | 61* | 2022 |
| XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis J Xiao, M Cai, X Hu, X Wan, G Chen, C Yang Bioinformatics 38 (7), 1947-1955, 2022 | 17 | 2022 |
| Leveraging the local genetic structure for trans-ancestry association mapping J Xiao, M Cai, X Yu, X Hu, G Chen, X Wan, C Yang The American Journal of Human Genetics 109 (7), 1317-1337, 2022 | 11 | 2022 |
| XMAP: Cross-population fine-mapping by leveraging genetic diversity and accounting for confounding bias M Cai, Z Wang, J Xiao, X Hu, G Chen, C Yang Nature Communications 14 (1), 6870, 2023 | 10 | 2023 |
| Benchmarking Mendelian Randomization methods for causal inference using genome-wide association study summary statistics X Hu, M Cai, J Xiao, X Wan, Z Wang, H Zhao, C Yang medRxiv, 2024.01. 03.24300765, 2024 | 2 | 2024 |
| MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information Z Wang, F Zhang, C Zheng, X Hu, M Cai, C Yang Journal of Computational and Graphical Statistics, 1-11, 2024 | | 2024 |
| Flexible and Accurate Methods for Estimation and Inference of Gaussian Graphical Models with Applications Y Qian, X Hu, C Yang arXiv preprint arXiv:2306.17584, 2023 | | 2023 |
Can YangHong Kong University of Science and Technology在 ust.hk 的电子邮件经过验证
