| Scalable generalized linear mixed model for region-based association tests in large biobanks and cohorts W Zhou, Z Zhao, JB Nielsen, LG Fritsche, J LeFaive, SA Gagliano Taliun, ... Nature genetics 52 (6), 634-639, 2020 | 192 | 2020 |
| Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular … SK Park, Z Zhao, B Mukherjee Environmental Health 16, 1-17, 2017 | 109 | 2017 |
| SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests W Zhou, W Bi, Z Zhao, KK Dey, KA Jagadeesh, KJ Karczewski, MJ Daly, ... Nature genetics 54 (10), 1466-1469, 2022 | 71 | 2022 |
| UK Biobank whole-exome sequence binary phenome analysis with robust region-based rare-variant test Z Zhao, W Bi, W Zhou, P VandeHaar, LG Fritsche, S Lee The American Journal of Human Genetics 106 (1), 3-12, 2020 | 69 | 2020 |
| The construction of cross-population polygenic risk scores using transfer learning Z Zhao, LG Fritsche, JA Smith, B Mukherjee, S Lee The American Journal of Human Genetics 109 (11), 1998-2008, 2022 | 44 | 2022 |
| Warburg effect is a cancer immune evasion mechanism against macrophage immunosurveillance J Chen, X Cao, B Li, Z Zhao, S Chen, SWT Lai, SA Muend, GK Nossa, ... Frontiers in immunology 11, 621757, 2021 | 35 | 2021 |
| Methods to account for uncertainty in latent class assignments when using latent classes as predictors in regression models, with application to acculturation strategy measures MR Elliott, Z Zhao, B Mukherjee, A Kanaya, BL Needham Epidemiology 31 (2), 194-204, 2020 | 27 | 2020 |
| A fast and accurate method for genome-wide scale phenome-wide G× E analysis and its application to UK biobank W Bi, Z Zhao, R Dey, LG Fritsche, B Mukherjee, S Lee The American Journal of Human Genetics 105 (6), 1182-1192, 2019 | 24 | 2019 |
| Patterns of repeated diagnostic testing for COVID‐19 in relation to patient characteristics and outcomes S Salerno, Z Zhao, S Prabhu Sankar, M Salvatore, T Gu, LG Fritsche, ... Journal of Internal Medicine 289 (5), 726-737, 2021 | 14 | 2021 |
| The construction of multi-ethnic polygenic risk score using transfer learning Z Zhao, LG Fritsche, JA Smith, B Mukherjee, S Lee medRxiv, 2022.03. 08.22272114, 2022 | 6 | 2022 |
| Set-based rare variant association tests for biobank scale sequencing data sets W Zhou, W Bi, Z Zhao, KK Dey, KA Jagadeesh, KJ Karczewski, MJ Daly, ... medRxiv, 2021.07. 12.21260400, 2021 | 5 | 2021 |
| Understanding the patterns of serological testing for COVID-19 pre-and post-vaccination rollout in Michigan Z Zhao, S Salerno, X Shi, S Lee, B Mukherjee, LG Fritsche Journal of Clinical Medicine 10 (19), 4341, 2021 | 4 | 2021 |
| Understanding the patterns of repeated testing for COVID-19: Association with patient characteristics and outcomes S Salerno, Z Zhao, SP Sankar, M Salvatore, T Gu, LG Fritsche, S Lee, ... medRxiv, 2020.07. 26.20162453, 2020 | 3 | 2020 |
| SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests (vol 54, pg 1446, 2022) W Zhou, W Bi, Z Zhao, KK Dey, KA Jagadeesh, KJ Karczewski, MJ Daly, ... NATURE GENETICS 54 (11), 1755-1755, 2022 | | 2022 |
| Genetic Association and Prediction Methods for Biobank Data Z Zhao | | 2021 |
| and Seunggeun Lee1, 2 W Bi, Z Zhao, R Dey, LG Fritsche, B Mukherjee The American Journal of Human Genetics 105, 1182-1192, 2019 | | 2019 |
| Construction of Environmental Risk Score beyond Standard Linear Models: Application to Metal Mixtures, Oxidative Stress and Cardiovascular Disease in NHANES SK Park, Z Zhao, B Mukherjee ISEE Conference Abstracts 29 2017 (1), 617, 2017 | | 2017 |
Wenjian BiPeking University在 pku.edu.cn 的电子邮件经过验证
