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VIMCO: Variational Inference for Multiple Correlated Outcomes in Genome-wide Association Studies
Shi Xingjie[1]; Jiao Yuling[2]; Yang Yi[3]; Cheng Ching-Yu[4]; Yang Can[5]; Lin Xinyi[6]; Liu Jin[7]
刊名Bioinformatics (Oxford, England)
2019
ISSN号1367-4811
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2162594
专题上海大学
作者单位1.[1]Department of Statistics, Nanjing University of Finance and Economics, Nanjing.
2.[2]School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan.
3.[3]School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai.
4.[4]Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore.
5.[5]Department of Mathematics, Hong Kong University of Science and Technology, Hong Kong.
6.[6]Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore.
7.[7]Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore.
推荐引用方式
GB/T 7714
Shi Xingjie[1],Jiao Yuling[2],Yang Yi[3],et al. VIMCO: Variational Inference for Multiple Correlated Outcomes in Genome-wide Association Studies[J]. Bioinformatics (Oxford, England),2019.
APA Shi Xingjie[1].,Jiao Yuling[2].,Yang Yi[3].,Cheng Ching-Yu[4].,Yang Can[5].,...&Liu Jin[7].(2019).VIMCO: Variational Inference for Multiple Correlated Outcomes in Genome-wide Association Studies.Bioinformatics (Oxford, England).
MLA Shi Xingjie[1],et al."VIMCO: Variational Inference for Multiple Correlated Outcomes in Genome-wide Association Studies".Bioinformatics (Oxford, England) (2019).
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