"scMBERT: A Pre-Trained Deep Learning Model for Single-Cell Multiomic Data Representation and Prediction." X. Chen, K. Yu, Min-Zhi Jiang, C. Xiao, Z. Fu, W. Zhou. Proceedings of the AAAI Conference on Artificial Intelligence: Vol. 39. No.28. 2025. https://doi.org/10.1609/aaai.v39i28.35242 PDF

"A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies." X. Li, H. Chen, M. S. Selvaraj, [and 80 others, including Min-Zhi Jiang]. Nature Computational Science (2025): 1-19. https://doi.org/10.1038/s43588-024-00764-8 PDF

"Whole genome sequencing based analysis of inflammation biomarkers in the Trans-Omics for Precision Medicine (TOPMed) consortium." Min-Zhi Jiang*, S. M. Gaynor*, X. Li, et al., Human Molecular Genetics 33.16 (2024): 1429-1441. https://doi.org/10.1093/hmg/ddae050 PDF

"MagicalRsq-X: A cross-cohort transferable genotype imputation quality metric." Q. Sun, Y. Yang, J. Rosen, [and 24 others, including Min-Zhi Jiang], The American Journal of Human Genetics 111.5 (2024): 990-995. https://doi.org/10.1016/j.ajhg.2024.04.001 PDF

"Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas." O. Hughes, A. Bentley, C. Breeze, [and 71 others, including Min-Zhi Jiang], Cell genomics 4.1 (2024). https://doi.org/10.1016/j.xgen.2023.100468 PDF

"Functional characterization of Alzheimer’s disease genetic variants in microglia." X. Yang, J. Wen, H. Yang, [and 25 others, including Min-Zhi Jiang], Nature Genetics 55.10 (2023), 1735-1744. https://doi.org/10.1038/s41588-023-01506-8 PDF

"Canonical correlation analysis for multi-omics: Application to cross-cohort analysis." Min-Zhi Jiang, F. Aguet, K. Ardlie, J. Chen, et al., PLOS Genetics 19, no. 5 (2023): e1010517. https://doi.org/10.1371/journal.pgen.1010517 PDF

"Cell composition inference and identification of layer-specific spatial transcriptional profiles with POLARIS." J. Chen, T. Luo, Min-Zhi Jiang, et al., Science Advances, 9,eadd9818(2023). https://doi.org/10.1126/sciadv.add9818 PDF

"Whole genome sequencing identifies common and rare structural variants contributing to hematologic traits in the NHLBI TOPMed program." M. M. Wheeler, A. M. Stilp, S. Rao, [and 52 others, including Min-Zhi Jiang], Nature Communications 13, no. 1 (2022): 1-18. https://doi.org/10.1038/s41467-022-35354-7 PDF

"MagicalRsq: Machine-learning-based genotype imputation quality calibration." Q. Sun, Y. Yang, J. D. Rosen, Min-Zhi Jiang, et al., The American Journal of Human Genetics 109.11 (2022): 1986-1997. https://doi.org/10.1016/j.ajhg.2022.09.009 PDF

"A comprehensive comparison on cell-type composition inference for spatial transcriptomics data." J. Chen, W. Liu, T. Luo, Z. Yu, Min-Zhi Jiang, et al., Briefings in Bioinformatics 23, no. 4(2022): bbac245. https://doi.org/10.1093/bib/bbac245 PDF

"A systematic evaluation of Hi-C data enhancement methods for enhancing PLAC-seq and HiChIP data." L. Huang, Y. Yang, G. Li, Min-Zhi Jiang, et al., Briefings in Bioinformatics 23, no. 3(2022): bbac145. https://doi.org/10.1093/bib/bbac145 PDF

"Adjusting prediction of ozone concentration based on CMAQ model and machine learning methods in Sichuan-Chongqing region, China." H. Lu, M. Xie, X. Liu, B. Liu, Min-Zhi Jiang, et al., Atmospheric Pollution Research 12(6), 101066. https://doi.org/10.1016/j.apr.2021.101066