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

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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