Analysis of Genome-Wide Association Studies with Multiple Outcomes Using Penalization

10.1371/journal.pone.0051198

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Bibliographic Details
Main Authors:	Liu J., Huang J., Ma S.
Other Authors:	DUKE-NUS MEDICAL SCHOOL
Format:	Article
Published:	2019
Subjects:	analytic method article CD3+ T lymphocyte CD4 CD8 ratio classification algorithm correlation analysis gene frequency genetic analysis genetic association genetic database genotype mathematical analysis mathematical computing multivariate analysis of variance penalization phenotype simulation single nucleotide polymorphism Algorithms Animals Computer Simulation Databases, Genetic Genetic Markers Genetic Predisposition to Disease Genetic Techniques Genome-Wide Association Study Humans Linear Models Mice Models, Genetic Models, Statistical Multivariate Analysis Phenotype Regression Analysis Risk Factors Mus
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/161360
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-1613602023-10-31T20:35:32Z Analysis of Genome-Wide Association Studies with Multiple Outcomes Using Penalization Liu J. Huang J. Ma S. DUKE-NUS MEDICAL SCHOOL analytic method article CD3+ T lymphocyte CD4 CD8 ratio classification algorithm correlation analysis gene frequency genetic analysis genetic association genetic database genotype mathematical analysis mathematical computing multivariate analysis of variance penalization phenotype simulation single nucleotide polymorphism Algorithms Animals Computer Simulation Databases, Genetic Genetic Markers Genetic Predisposition to Disease Genetic Techniques Genome-Wide Association Study Humans Linear Models Mice Models, Genetic Models, Statistical Multivariate Analysis Phenotype Regression Analysis Risk Factors Mus 10.1371/journal.pone.0051198 PLoS ONE 7 12 e51198 2019-11-04T06:32:56Z 2019-11-04T06:32:56Z 2012 Article Liu J., Huang J., Ma S. (2012). Analysis of Genome-Wide Association Studies with Multiple Outcomes Using Penalization. PLoS ONE 7 (12) : e51198. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0051198 19326203 https://scholarbank.nus.edu.sg/handle/10635/161360 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20191101
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	analytic method article CD3+ T lymphocyte CD4 CD8 ratio classification algorithm correlation analysis gene frequency genetic analysis genetic association genetic database genotype mathematical analysis mathematical computing multivariate analysis of variance penalization phenotype simulation single nucleotide polymorphism Algorithms Animals Computer Simulation Databases, Genetic Genetic Markers Genetic Predisposition to Disease Genetic Techniques Genome-Wide Association Study Humans Linear Models Mice Models, Genetic Models, Statistical Multivariate Analysis Phenotype Regression Analysis Risk Factors Mus
spellingShingle	analytic method article CD3+ T lymphocyte CD4 CD8 ratio classification algorithm correlation analysis gene frequency genetic analysis genetic association genetic database genotype mathematical analysis mathematical computing multivariate analysis of variance penalization phenotype simulation single nucleotide polymorphism Algorithms Animals Computer Simulation Databases, Genetic Genetic Markers Genetic Predisposition to Disease Genetic Techniques Genome-Wide Association Study Humans Linear Models Mice Models, Genetic Models, Statistical Multivariate Analysis Phenotype Regression Analysis Risk Factors Mus Liu J. Huang J. Ma S. Analysis of Genome-Wide Association Studies with Multiple Outcomes Using Penalization
description	10.1371/journal.pone.0051198
author2	DUKE-NUS MEDICAL SCHOOL
author_facet	DUKE-NUS MEDICAL SCHOOL Liu J. Huang J. Ma S.
format	Article
author	Liu J. Huang J. Ma S.
author_sort	Liu J.
title	Analysis of Genome-Wide Association Studies with Multiple Outcomes Using Penalization
title_short	Analysis of Genome-Wide Association Studies with Multiple Outcomes Using Penalization
title_full	Analysis of Genome-Wide Association Studies with Multiple Outcomes Using Penalization
title_fullStr	Analysis of Genome-Wide Association Studies with Multiple Outcomes Using Penalization
title_full_unstemmed	Analysis of Genome-Wide Association Studies with Multiple Outcomes Using Penalization
title_sort	analysis of genome-wide association studies with multiple outcomes using penalization
publishDate	2019
url	https://scholarbank.nus.edu.sg/handle/10635/161360
_version_	1781791746092433408

Analysis of Genome-Wide Association Studies with Multiple Outcomes Using Penalization

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