| 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 | 114 | 2020 |
| RNA splicing programs define tissue compartments and cell types at single-cell resolution JE Olivieri, R Dehghannasiri, PL Wang, SR Jang, A De Morree, SY Tan, ... Elife 10, e70692, 2021 | 39 | 2021 |
| LSMM: a statistical approach to integrating functional annotations with genome-wide association studies J Ming, M Dai, M Cai, X Wan, J Liu, C Yang Bioinformatics 34 (16), 2788-2796, 2018 | 25 | 2018 |
| Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets J Zhao, G Wang, J Ming, Z Lin, Y Wang, AR Wu, C Yang Nature computational science 2 (5), 317-330, 2022 | 23 | 2022 |
| Tabula Microcebus: A transcriptomic cell atlas of mouse lemur, an emerging primate model organism Tabula Microcebus Consortium, C Ezran, S Liu, S Chang, J Ming, ... BioRxiv, 2021.12. 12.469460, 2021 | 19 | 2021 |
| FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets J Ming, Z Lin, J Zhao, X Wan, ... Briefings in bioinformatics 23 (5), bbac167, 2022 | 15 | 2022 |
| LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations J Ming, T Wang, C Yang Bioinformatics 36 (8), 2506-2514, 2020 | 15 | 2020 |
| BIVAS: a scalable Bayesian method for bi-level variable selection with applications M Cai, M Dai, J Ming, H Peng, J Liu, C Yang Journal of Computational and Graphical Statistics 29 (1), 40-52, 2020 | 15 | 2020 |
| IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies M Dai, J Ming, M Cai, J Liu, C Yang, X Wan, Z Xu Bioinformatics 33 (18), 2882-2889, 2017 | 14 | 2017 |
| Mouse lemur transcriptomic atlas elucidates primate genes, physiology, disease, and evolution C Ezran, S Liu, J Ming, LA Guethlein, MF Wang, R Dehghannasiri, ... | 5 | 2022 |
| Spatial transcriptomics: a new frontier in cancer research S Huang, L Ouyang, J Tang, K Qian, X Chen, Z Xu, J Ming, R Xi Clinical Cancer Bulletin 3 (1), 13, 2024 | 4 | 2024 |
| FIRM: fast Integration of singlecell RNA-sequencing data across multiple platforms J Ming, Z Lin, X Wan, C Yang, A Wu bioRxiv, 2020 | 2 | 2020 |
| Funmap: integrating high-dimensional functional annotations to improve fine-mapping Y Li, J Xiao, J Ming, Y Zeng, M Cai medRxiv, 2024.06. 25.24309459, 2024 | | 2024 |
| scPI: A Scalable Framework for Probabilistic Inference in Single-Cell RNA-Sequencing Data Analysis J Ming, J Zhao, C Yang Statistics in Biosciences 15 (3), 633-656, 2023 | | 2023 |
| Mouse lemur transcriptomic atlas informs primate genes, mutations, physiology, and disease Tabula Microcebus Consortium, C Ezran, S Liu, S Chang, J Ming, ... bioRxiv, 2022.08. 06.503035, 2022 | | 2022 |
| Adversarial domain translation networks enable fast and accurate large-scale atlas-level single-cell data integration J Zhao, G Wang, J Ming, Z Lin, Y Wang, Tabula Microcebus Consortium, ... bioRxiv, 2021.11. 16.468892, 2021 | | 2021 |
| BIVAS: A scalable Bayesian method for bi-level variable selection with applications CAI Mingxuan, M Dai, J Ming, H Peng, J Liu, C Yang Taylor & Francis, 2019 | | 2019 |
| Statistical methods for integrative analysis of genomic data J Ming Hong Kong Baptist University, 2018 | | 2018 |
| Supporting information for “LSMM: A statistical approach to integrating functional annotations with genome-wide association studies” J Ming, M Dai, M Cai, X Wan, J Liu, C Yang | | |
| The supplementary document of “IGESS: A Statistical Approach to Integrating Individual-Level Genotype Data and Summary Statistics in Genome-Wide Association Studies” M Dai, J Ming, M Cai, J Liu, C Yang, X Wan, Z Xu | | |
