Dr. Cai obtained his PhD degree from The Hong Kong University of Science and Technology in 2022. He received his BSc and MPhil in Statistics from Hong Kong Baptist University. His broad area of interest lies in statistical machine learning and data science with applications in genetics and genomics data analysis. He has been working on scalable statistical methods for high dimensional regression problems and integrative analysis of multi-omics data.
Journal
- Wang, Zhiwei. , Zhang, Fa. , Zheng, Cong. , Hu, Xianghong. , Cai, Mingxuan. & Yang, Can. (2024). MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information. Journal of Computational and Graphical Statistics. just-accepted. 1 - 18. doi:10.1080/10618600.2024.2319160
- Cai, Mingxuan. , Wang, Zhiwei. , Xiao, Jiashun. , Hu, Xianghong. , Chen, Gang. & Yang, Can. (2023). XMAP: Cross-population fine-mapping by leveraging genetic diversity and accounting for confounding bias. Nature Communications. 14. 6870 doi:10.1038/s41467-023-42614-7
- Xiao, Jiashun. , Cai, Mingxuan. , Yu, Xinyi. , Hu, Xianghong. , Chen, Gang. , Wan, Xiang. & Yang, Can. (2022). Leveraging the local genetic structure for trans-ancestry association mapping. The American Journal of Human Genetics. 109(7). 1317 - 1337. doi:10.1016/j.ajhg.2022.05.013
- Xiao, Jiashun. , Cai, Mingxaun. , Hu, Xianghong. , Wan, Xiang. , Chen, Gang. & Yang, Can. (2022). XPXP: Improving polygenic prediction by cross-population and cross-phenotype analysis. Bioinformatics. 38(7). 1947 - 1955. doi:10.1093/bioinformatics/btac029
- Cai, Mingxuan. , Xiao, Jiashun. , Zhang, Shunkang. , Wan, Xiang. , Zhao, Hongyu. , Chen, Gang. & Yang, Can. (2021). A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits. The American Journal of Human Genetics. 108(4). 632 - 655. doi:10.1016/j.ajhg.2021.03.002
- Cai, Mingxuan. , Dai, Mingwei. , Ming, Jingsi. , Peng, Heng. , Liu, Jin. & Yang, Can. (2020). BIVAS: a scalable Bayesian method for bi-level variable selection with applications. Journal of Computational and Graphical Statistics. 29(1). 40 - 52. doi:10.1080/10618600.2019.1624365
- Cai, Mingxuan. , Chen, Lin. S. , Liu, Jin. & Yang, Can. (2020). IGREX for quantifying the impact of genetically regulated expression on phenotypes. NAR Genomics and Bioinformatics. 2(1). lqaa010 doi:10.1093/nargab/lqaa010
Last update date :
12 Apr 2024