SUPERGNOVA: local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits Y Zhang, Q Lu, Y Ye, K Huang, W Liu, Y Wu, X Zhong, B Li, Z Yu, ... Genome biology 22, 1-30, 2021 | 109* | 2021 |
Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics Y Zhang, Y Cheng, W Jiang, Y Ye, Q Lu, H Zhao Briefings in bioinformatics 22 (5), bbaa442, 2021 | 42 | 2021 |
Leveraging LD eigenvalue regression to improve the estimation of SNP heritability and confounding inflation S Song, W Jiang, Y Zhang, L Hou, H Zhao The American Journal of Human Genetics 109 (5), 802-811, 2022 | 15 | 2022 |
Sex-specific genetic association between psychiatric disorders and cognition, behavior and brain imaging in children and adults Y Gui, X Zhou, Z Wang, Y Zhang, Z Wang, G Zhou, Y Zhao, M Liu, H Lu, ... Translational Psychiatry 12 (1), 347, 2022 | 10 | 2022 |
Integrative analyses for the identification of idiopathic pulmonary fibrosis-associated genes and shared loci with other diseases M Chen, Y Zhang, T Adams, D Ji, W Jiang, LV Wain, M Cho, N Kaminski, ... Thorax 78 (8), 792-798, 2023 | 6 | 2023 |
Parameterizing and validating existing algorithms for identifying out-of-bed time using hip-worn accelerometer data from older women J Bellettiere, Y Zhang, V Berardi, KM Full, J Kerr, MJ LaMonte, ... Physiological measurement 40 (7), 075008, 2019 | 6 | 2019 |
High-Dimensional Asymptotic Behavior of Inference Based on GWAS Summary Statistics J Jiang, W Jiang, D Paul, Y Zhang, H Zhao Statistica Sinica 33 (Online Special Issue), 1555, 2023 | 3 | 2023 |
Benchmarking of local genetic correlation estimation methods using summary statistics from genome-wide association studies C Zhang, Y Zhang, Y Zhang, H Zhao Briefings in Bioinformatics 24 (6), bbad407, 2023 | 2 | 2023 |
Estimating genetic correlation jointly using individual-level and summary-level GWAS data Y Zhang, Y Cheng, Y Ye, W Jiang, Q Lu, H Zhao bioRxiv, 2021.08. 18.456908, 2021 | 2 | 2021 |
SCRIBE: a new approach to dropout imputation and batch effects correction for single-cell RNA-seq data Y Zhang, K Liang, M Liu, Y Li, H Ge, H Zhao Machine Learning in Computational Biology 2019 Proceedings, 2019 | 2 | 2019 |
Inference of dynamic graph changes for functional connectome D Ji, J Lu, Y Zhang, S Gao, H Zhao International Conference on Artificial Intelligence and Statistics, 3230-3240, 2020 | 1 | 2020 |
Trade Flow Optimization Model for Plastic Pollution Reduction D Li, C Liu, Y Shi, J Song, Y Zhang International Journal of Environmental Research and Public Health 19 (23), 15963, 2022 | | 2022 |
A general kernel boosting framework integrating pathways for predictive modeling based on genomic data L Zeng, Z Yu, Y Zhang, H Zhao Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | | 2022 |