| Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices H Monajemi, S Jafarpour, M Gavish, Stat 330/CME 362 Collaboration, ... Proceedings of the National Academy of Sciences 110 (4), 1181-1186, 2013 | 118 | 2013 |
| A semi-supervised approach for predicting cell-type specific functional consequences of non-coding variation using MPRAs Z He, L Liu, K Wang, I Ionita-Laza Nature communications 9 (1), 5199, 2018 | 42 | 2018 |
| Identification of putative causal loci in whole-genome sequencing data via knockoff statistics Z He, L Liu, C Wang, Y Le Guen, J Lee, S Gogarten, F Lu, S Montgomery, ... Nature communications 12 (1), 3152, 2021 | 26 | 2021 |
| Genome-wide analysis of common and rare variants via multiple knockoffs at biobank scale, with an application to Alzheimer disease genetics Z He, Y Le Guen, L Liu, J Lee, S Ma, AC Yang, X Liu, J Rutledge, ... The American Journal of Human Genetics 108 (12), 2336-2353, 2021 | 18 | 2021 |
| Convergence Rates of a Class of Multivariate Density Estimation Methods Based on Adaptive Partitioning L Liu, D Li, WH Wong Journal of Machine Learning Research 24 (50), 1-64, 2023 | 13* | 2023 |
| Powerful gene-based testing by integrating long-range chromatin interactions and knockoff genotypes S Ma, J Dalgleish, J Lee, C Wang, L Liu, R Gill, JD Buxbaum, WK Chung, ... Proceedings of the National Academy of Sciences 118 (47), 2021 | 11 | 2021 |
| CARMA is a new Bayesian model for fine-mapping in genome-wide association meta-analyses Z Yang, C Wang, L Liu, A Khan, A Lee, B Vardarajan, R Mayeux, K Kiryluk, ... Nature Genetics 55 (6), 1057-1065, 2023 | 10 | 2023 |
| Convergence rates of a partition based Bayesian multivariate density estimation method L Liu, D Li, WH Wong Advances in neural information processing systems 30, 2017 | 10 | 2017 |
| Communication-efficient false discovery rate control via knockoff aggregation W Su, J Qian, L Liu arXiv preprint arXiv:1506.05446, 2015 | 8 | 2015 |
| GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies Z He, L Liu, ME Belloy, Y Le Guen, A Sossin, X Liu, X Qi, S Ma, ... Nature Communications 13 (1), 7209, 2022 | 6 | 2022 |
| Log-Rank-Type Tests for Equality of Distributions in High-Dimensional Spaces L Liu, Y Meng, X Wu, Z Ying, T Zheng Journal of Computational and Graphical Statistics 31 (4), 1384-1396, 2022 | 3 | 2022 |
| Structure-based prediction and characterization of photo-crosslinking in native protein–RNA complexes H Feng, XJ Lu, S Maji, L Liu, D Ustianenko, ND Rudnick, C Zhang Nature Communications 15 (1), 2279, 2024 | | 2024 |
| In silico identification of putative causal genetic variants Z He, B Chu, J Yang, J Gu, Z Chen, L Liu, T Morrison, ME Belloy, X Qi, ... bioRxiv, 2024.02. 28.582621, 2024 | | 2024 |
| BIGKnock: fine-mapping gene-based associations via knockoff analysis of biobank-scale data S Ma, C Wang, A Khan, L Liu, J Dalgleish, K Kiryluk, Z He, I Ionita-Laza Genome Biology 24 (1), 24, 2023 | | 2023 |
| KnockoffTrio: A knockoff framework for the identification of putative causal variants in genome-wide association studies with trio design Y Yang, C Wang, L Liu, J Buxbaum, Z He, I Ionita-Laza The American Journal of Human Genetics 109 (10), 1761-1776, 2022 | | 2022 |
