| A Bayesian framework that integrates multi-omics data and gene networks predicts risk genes from schizophrenia GWAS data Q Wang, R Chen, F Cheng, Q Wei, Y Ji, H Yang, X Zhong, R Tao, Z Wen, ... Nature neuroscience 22 (5), 691-699, 2019 | 134 | 2019 |
| Anti-apoptotic mutations desensitize human pluripotent stem cells to mitotic stress and enable aneuploid cell survival J Zhang, AJ Hirst, F Duan, H Qiu, R Huang, Y Ji, L Bai, F Zhang, ... Stem cell reports 12 (3), 557-571, 2019 | 43 | 2019 |
| De novo pattern discovery enables robust assessment of functional consequences of non-coding variants H Yang, R Chen, Q Wang, Q Wei, Y Ji, G Zheng, X Zhong, NJ Cox, B Li Bioinformatics 35 (9), 1453-1460, 2019 | 21 | 2019 |
| Incorporating European GWAS findings improve polygenic risk prediction accuracy of breast cancer among East Asians Y Ji, J Long, SS Kweon, D Kang, M Kubo, B Park, XO Shu, W Zheng, ... Genetic Epidemiology 45 (5), 471-484, 2021 | 8 | 2021 |
| TVAR: assessing tissue-specific functional effects of non-coding variants with deep learning H Yang, R Chen, Q Wang, Q Wei, Y Ji, X Zhong, B Li Bioinformatics 38 (20), 4697-4704, 2022 | 3 | 2022 |
| Integration of multidimensional splicing data and GWAS summary statistics for risk gene discovery Y Ji, Q Wei, R Chen, Q Wang, R Tao, B Li PLoS genetics 18 (6), e1009814, 2022 | 1 | 2022 |
| A Bayesian framework to integrate multi-level genome-scale data for Autism risk gene prioritization Y Ji, R Chen, Q Wang, Q Wei, R Tao, B Li BMC bioinformatics 23 (1), 1-17, 2022 | | 2022 |
| Leveraging Gene-Level Prediction as Informative Covariate in Hypothesis Weighting Improves Power for Rare Variant Association Studies Y Ji, R Chen, Q Wang, Q Wei, R Tao, B Li Genes 13 (2), 381, 2022 | | 2022 |
Bingshan LiAssociate Professor of Human Genetics在 vanderbilt.edu 的电子邮件经过验证
