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Eun Yong Kang

Showing results (1-10 of 22) with videos related to

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Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|April 10, 2010
Detecting the presence and absence of causal relationships between expression of yeast genes with very few samplesEun Yong Kang, Chun Ye, Ilya Shpitser, et al.
Genetics|August 9, 2014
Identifying causal variants at loci with multiple signals of associationFarhad Hormozdiari, Emrah Kostem, Eun Yong Kang, et al.
Nature Neuroscience|August 29, 2019
Profiling allele-specific gene expression in brains from individuals with autism spectrum disorder reveals preferential minor allele usageChanghoon Lee, Eun Yong Kang, Michael J Gandal, et al.
Scientific Reports|May 10, 2013
The benefits of selecting phenotype-specific variants for applications of mixed models in genomicsChristoph Lippert, Gerald Quon, Eun Yong Kang, et al.
Bioinformatics (Oxford, England)|April 20, 2013
A powerful and efficient set test for genetic markers that handles confoundersJennifer Listgarten, Christoph Lippert, Eun Yong Kang, et al.
Bioinformatics (Oxford, England)|October 26, 2013
Fast pairwise IBD association testing in genome-wide association studiesBuhm Han, Eun Yong Kang, Soumya Raychaudhuri, et al.
G3 (Bethesda, Md.)|May 20, 2016
ForestPMPlot: A Flexible Tool for Visualizing Heterogeneity Between Studies in Meta-analysisEun Yong Kang, Yurang Park, Xiao Li, et al.
Bioinformatics (Oxford, England)|September 9, 2017
Applying meta-analysis to genotype-tissue expression data from multiple tissues to identify eQTLs and increase the number of eGenesDat Duong, Lisa Gai, Sagi Snir, et al.
Genetics|April 17, 2012
Increasing association mapping power and resolution in mouse genetic studies through the use of meta-analysis for structured populationsNicholas A Furlotte, Eun Yong Kang, Atila Van Nas, et al.
Genetics|October 23, 2016
Efficient and Accurate Multiple-Phenotype Regression Method for High Dimensional Data Considering Population StructureJong Wha J Joo, Eun Yong Kang, Elin Org, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|April 10, 2010
Detecting the presence and absence of causal relationships between expression of yeast genes with very few samplesEun Yong Kang, Chun Ye, Ilya Shpitser, et al.
Genetics|August 9, 2014
Identifying causal variants at loci with multiple signals of associationFarhad Hormozdiari, Emrah Kostem, Eun Yong Kang, et al.
Nature Neuroscience|August 29, 2019
Profiling allele-specific gene expression in brains from individuals with autism spectrum disorder reveals preferential minor allele usageChanghoon Lee, Eun Yong Kang, Michael J Gandal, et al.
Scientific Reports|May 10, 2013
The benefits of selecting phenotype-specific variants for applications of mixed models in genomicsChristoph Lippert, Gerald Quon, Eun Yong Kang, et al.
Bioinformatics (Oxford, England)|April 20, 2013
A powerful and efficient set test for genetic markers that handles confoundersJennifer Listgarten, Christoph Lippert, Eun Yong Kang, et al.
Bioinformatics (Oxford, England)|October 26, 2013
Fast pairwise IBD association testing in genome-wide association studiesBuhm Han, Eun Yong Kang, Soumya Raychaudhuri, et al.
G3 (Bethesda, Md.)|May 20, 2016
ForestPMPlot: A Flexible Tool for Visualizing Heterogeneity Between Studies in Meta-analysisEun Yong Kang, Yurang Park, Xiao Li, et al.
Bioinformatics (Oxford, England)|September 9, 2017
Applying meta-analysis to genotype-tissue expression data from multiple tissues to identify eQTLs and increase the number of eGenesDat Duong, Lisa Gai, Sagi Snir, et al.
Genetics|April 17, 2012
Increasing association mapping power and resolution in mouse genetic studies through the use of meta-analysis for structured populationsNicholas A Furlotte, Eun Yong Kang, Atila Van Nas, et al.
Genetics|October 23, 2016
Efficient and Accurate Multiple-Phenotype Regression Method for High Dimensional Data Considering Population StructureJong Wha J Joo, Eun Yong Kang, Elin Org, et al.
Pageof 3