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Genetic Epidemiology
|
April 20, 2007
A new association test using haplotype similarity
Qiuying Sha, Huann-Sheng Chen, Shuanglin Zhang
Annals of Human Genetics
|
March 19, 2016
Joint Analysis of Multiple Traits in Rare Variant Association Studies
Zhenchuan Wang, Xuexia Wang, Qiuying Sha, et al.
Bioinformatics (Oxford, England)
|
September 22, 2018
A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS
Qiuying Sha, Zhenchuan Wang, Xiao Zhang, et al.
BMC Proceedings
|
December 19, 2014
Testing optimally weighted combination of variants for hypertension
Xingwang Zhao, Qiuying Sha, Shuanglin Zhang, et al.
Scientific Reports
|
February 28, 2023
A clustering linear combination method for multiple phenotype association studies based on GWAS summary statistics
Meida Wang, Xuewei Cao, Shuanglin Zhang, et al.
BMC Proceedings
|
March 1, 2012
Detection of rare variant effects in association studies: extreme values, iterative regression, and a hybrid approach
Zhaogong Zhang, Qiuying Sha, Xinli Wang, et al.
Scientific Reports
|
March 4, 2022
Gene-based association tests using GWAS summary statistics and incorporating eQTL
Xuewei Cao, Xuexia Wang, Shuanglin Zhang, et al.
European Journal of Human Genetics : EJHG
|
December 18, 2022
Gene selection by incorporating genetic networks into case-control association studies
Xuewei Cao, Xiaoyu Liang, Shuanglin Zhang, et al.
Plos One
|
March 11, 2020
Testing gene-environment interactions for rare and/or common variants in sequencing association studies
Zihan Zhao, Jianjun Zhang, Qiuying Sha, et al.
Plos One
|
November 9, 2022
HCLC-FC: A novel statistical method for phenome-wide association studies
Xiaoyu Liang, Xuewei Cao, Qiuying Sha, et al.
Page
of 10
Search research articles
Search
Showing results (31-40 of 94) with videos related to
Sort By:
Page
of 10
Genetic Epidemiology
|
April 20, 2007
A new association test using haplotype similarity
Qiuying Sha, Huann-Sheng Chen, Shuanglin Zhang
Annals of Human Genetics
|
March 19, 2016
Joint Analysis of Multiple Traits in Rare Variant Association Studies
Zhenchuan Wang, Xuexia Wang, Qiuying Sha, et al.
Bioinformatics (Oxford, England)
|
September 22, 2018
A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS
Qiuying Sha, Zhenchuan Wang, Xiao Zhang, et al.
BMC Proceedings
|
December 19, 2014
Testing optimally weighted combination of variants for hypertension
Xingwang Zhao, Qiuying Sha, Shuanglin Zhang, et al.
Scientific Reports
|
February 28, 2023
A clustering linear combination method for multiple phenotype association studies based on GWAS summary statistics
Meida Wang, Xuewei Cao, Shuanglin Zhang, et al.
BMC Proceedings
|
March 1, 2012
Detection of rare variant effects in association studies: extreme values, iterative regression, and a hybrid approach
Zhaogong Zhang, Qiuying Sha, Xinli Wang, et al.
Scientific Reports
|
March 4, 2022
Gene-based association tests using GWAS summary statistics and incorporating eQTL
Xuewei Cao, Xuexia Wang, Shuanglin Zhang, et al.
European Journal of Human Genetics : EJHG
|
December 18, 2022
Gene selection by incorporating genetic networks into case-control association studies
Xuewei Cao, Xiaoyu Liang, Shuanglin Zhang, et al.
Plos One
|
March 11, 2020
Testing gene-environment interactions for rare and/or common variants in sequencing association studies
Zihan Zhao, Jianjun Zhang, Qiuying Sha, et al.
Plos One
|
November 9, 2022
HCLC-FC: A novel statistical method for phenome-wide association studies
Xiaoyu Liang, Xuewei Cao, Qiuying Sha, et al.
Page
of 10