Qiuying Sha, Ph.D.
Affiliations: | 2005 | Michigan Technological University, USA |
Area:
Statistics, Biostatistics BiologyGoogle:
"Qiuying Sha"Parents
Sign in to add mentor| Jianping Dong | grad student | 2005 | Michigan Technological University | |
| (Multi-locus association tests for detecting complex disease genes.) | ||||
Children
Sign in to add trainee| Adan Niu | grad student | 2010 | Michigan Technological University |
| Shurong Fang | grad student | 2013 | Michigan Technological University |
BETA: Related publications
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Publications
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| Zhang J, Zhao JZ, Gonzales S, et al. (2024) A novel phenotype imputation method with copula model. Bmc Bioinformatics. 25: 369 |
| Zhu L, Zhang S, Sha Q. (2024) Meta-analysis of set-based multiple phenotype association test based on GWAS summary statistics from different cohorts. Frontiers in Genetics. 15: 1359591 |
| Cao X, Zhang S, Sha Q. (2024) A novel method for multiple phenotype association studies based on genotype and phenotype network. Plos Genetics. 20: e1011245 |
| Zhu L, Yan S, Cao X, et al. (2024) Integrating External Controls by Regression Calibration for Genome-Wide Association Study. Genes. 15 |
| Xie H, Cao X, Zhang S, et al. (2023) Joint analysis of multiple phenotypes for extremely unbalanced case-control association studies using multi-layer network. Bioinformatics (Oxford, England) |
| Wang M, Cao X, Zhang S, et al. (2023) A clustering linear combination method for multiple phenotype association studies based on GWAS summary statistics. Scientific Reports. 13: 3389 |
| Xie H, Cao X, Zhang S, et al. (2023) Joint analysis of multiple phenotypes for extremely unbalanced case-control association studies. Genetic Epidemiology. 47: 185-197 |
| Cao X, Liang X, Zhang S, et al. (2022) Gene selection by incorporating genetic networks into case-control association studies. European Journal of Human Genetics : Ejhg |
| Liang X, Cao X, Sha Q, et al. (2022) HCLC-FC: A novel statistical method for phenome-wide association studies. Plos One. 17: e0276646 |
| Yan S, Sha Q, Zhang S. (2022) Gene-Based Association Tests Using New Polygenic Risk Scores and Incorporating Gene Expression Data. Genes. 13 |