| Batch effects removal for microbiome data via conditional quantile regression W Ling, J Lu, N Zhao, A Lulla, AM Plantinga, W Fu, A Zhang, H Liu, ... Nature communications 13 (1), 5418, 2022 | 30 | 2022 |
| A metagenomic approach to dissect the genetic composition of enterotypes in Han Chinese and two Muslim groups J Li, R Fu, Y Yang, HP Horz, Y Guan, Y Lu, H Lou, L Tian, S Zheng, H Liu, ... Systematic and applied microbiology 41 (1), 1-12, 2018 | 25 | 2018 |
| Particulate air pollution exposure and plasma vitamin D levels in pregnant women: a longitudinal cohort study Y Zhao, L Wang, H Liu, Z Cao, X Su, J Cai, J Hua The Journal of Clinical Endocrinology & Metabolism 104 (8), 3320-3326, 2019 | 23 | 2019 |
| Placental weight and size in relation to fetal growth restriction: a case-control study HJ Liu, PC Liu, J Hua, Y Zhao, J Cao The Journal of Maternal-Fetal & Neonatal Medicine 34 (9), 1356-1360, 2021 | 22 | 2021 |
| Kernel-based genetic association analysis for microbiome phenotypes identifies host genetic drivers of beta-diversity H Liu, W Ling, X Hua, JY Moon, JS Williams-Nguyen, X Zhan, ... Microbiome 11 (1), 80, 2023 | 5 | 2023 |
| A kernel-based test of independence for cluster-correlated data H Liu, A Plantinga, Y Xiang, M Wu Advances in neural information processing systems 34, 9869-9881, 2021 | 4 | 2021 |
| Covariate-adjusted kernel RV: A new, more powerful GWAS approach for microbiome research H Liu, W Ling, X Hua, JY Moon, JS Williams-Nguyen, X Zhan, ... | | 2023 |
| Statistical Methods for Association Analysis of Microbiome Data H Liu University of Washington, 2023 | | 2023 |
| A fast kernel independence test for cluster-correlated data H Song, H Liu, MC Wu Scientific Reports 12 (1), 21659, 2022 | | 2022 |
