| Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies W Zhou, JB Nielsen, LG Fritsche, R Dey, ME Gabrielsen, BN Wolford, ... Nature Genetics 50 (9), 1335-1341, 2018 | 1117 | 2018 |
| Biobank-driven genomic discovery yields new insight into atrial fibrillation biology JB Nielsen, RB Thorolfsdottir, LG Fritsche, W Zhou, MW Skov, SE Graham, ... Nature Genetics, 1, 2018 | 672 | 2018 |
| Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale X Li, Z Li, H Zhou, SM Gaynor, Y Liu, H Chen, R Sun, R Dey, DK Arnett, ... Nature genetics 52 (9), 969-983, 2020 | 175 | 2020 |
| A fast and accurate algorithm to test for binary phenotypes and its application to PheWAS R Dey, EM Schmidt, GR Abecasis, S Lee The American Journal of Human Genetics 101 (1), 37-49, 2017 | 158 | 2017 |
| A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies Z Li, X Li, H Zhou, SM Gaynor, MS Selvaraj, T Arapoglou, C Quick, Y Liu, ... Nature methods 19 (12), 1599-1611, 2022 | 50 | 2022 |
| Efficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypes W Bi, W Zhou, R Dey, B Mukherjee, JN Sampson, S Lee The American Journal of Human Genetics 108 (5), 825-839, 2021 | 39 | 2021 |
| Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks R Dey, W Zhou, T Kiiskinen, A Havulinna, A Elliott, J Karjalainen, M Kurki, ... Nature Communications 13 (1), 5437, 2022 | 34* | 2022 |
| Fast and robust ancestry prediction using principal component analysis D Zhang, R Dey, S Lee Bioinformatics 36 (11), 3439-3446, 2020 | 32 | 2020 |
| Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies X Li, C Quick, H Zhou, SM Gaynor, Y Liu, H Chen, MS Selvaraj, R Sun, ... Nature genetics 55 (1), 154-164, 2023 | 24 | 2023 |
| 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 | 23 | 2019 |
| Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data C Quick, R Dey, X Lin Journal of the American Statistical Association 116 (536), 1561-1577, 2021 | 22 | 2021 |
| Group testing via hypergraph factorization applied to COVID-19 D Hong, R Dey, X Lin, B Cleary, E Dobriban Nature Communications 13 (1), 1-13, 2022 | 12* | 2022 |
| Asymptotic properties of Principal Component Analysis and shrinkage-bias adjustment under the Generalized Spiked Population model R Dey, S Lee Journal of Multivariate Analysis 173, 145-164, 2019 | 10 | 2019 |
| Robust meta‐analysis of biobank‐based genome‐wide association studies with unbalanced binary phenotypes R Dey, JB Nielsen, LG Fritsche, W Zhou, H Zhu, CJ Willer, S Lee Genetic epidemiology 43 (5), 462-476, 2019 | 9 | 2019 |
| A versatile toolkit for molecular QTL mapping and meta-analysis at scale C Quick, L Guan, Z Li, X Li, R Dey, Y Liu, L Scott, X Lin bioRxiv, 2020 | 7 | 2020 |
| COVID-19 Spread Mapper: a multi-resolution, unified framework and open-source tool A Shi, SM Gaynor, R Dey, H Zhang, C Quick, X Lin Bioinformatics 38 (9), 2661-2663, 2022 | 6 | 2022 |
| Efficient and accurate estimation of genotype odds ratios in biobank-based unbalanced case-control studies R Dey, S Lee bioRxiv, 646018, 2019 | 4 | 2019 |
| Rejoinder: Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data C Quick, R Dey, X Lin Journal of the American Statistical Association 116 (536), 1591-1594, 2021 | 2 | 2021 |
| Pitfalls in performing genome-wide association studies on ratio traits ZR McCaw, R Dey, H Somineni, D Amar, S Mukherjee, K Sandor, ... bioRxiv, 2023.10. 27.564385, 2023 | 1 | 2023 |
| PC Adjusted Testing for Low Dimensional Parameters S Bhattacharya, R Dey, R Mukherjee arXiv preprint arXiv:2209.10774, 2022 | 1 | 2022 |
Seunggeun (Shawn) LeeProfessor of Data Science, Seoul National University在 snu.ac.kr 的电子邮件经过验证
