Penalized multivariate linear mixed model for longitudinal genome-wide association studies

10.1186/1753-6561-8-S1-S73

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Bibliographic Details
Main Authors:	Liu, J, Huang, J, Ma, S
Other Authors:	DUKE-NUS MEDICAL SCHOOL
Format:	Conference or Workshop Item
Published:	2020
Subjects:	Conference Paper diastolic blood pressure gene identification genetic analysis genetic variation genome-wide association study human longitudinal study mathematical computing phenotype single nucleotide polymorphism statistical model systolic blood pressure
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/181751
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-181751
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spelling	sg-nus-scholar.10635-1817512020-10-28T13:33:18Z Penalized multivariate linear mixed model for longitudinal genome-wide association studies Liu, J Huang, J Ma, S DUKE-NUS MEDICAL SCHOOL Conference Paper diastolic blood pressure gene identification genetic analysis genetic variation genome-wide association study human longitudinal study mathematical computing phenotype single nucleotide polymorphism statistical model systolic blood pressure 10.1186/1753-6561-8-S1-S73 BMC Proceedings 8 S73 2020-10-28T07:03:03Z 2020-10-28T07:03:03Z 2014 Conference Paper Liu, J, Huang, J, Ma, S (2014). Penalized multivariate linear mixed model for longitudinal genome-wide association studies. BMC Proceedings 8 : S73. ScholarBank@NUS Repository. https://doi.org/10.1186/1753-6561-8-S1-S73 17536561 https://scholarbank.nus.edu.sg/handle/10635/181751 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Conference Paper diastolic blood pressure gene identification genetic analysis genetic variation genome-wide association study human longitudinal study mathematical computing phenotype single nucleotide polymorphism statistical model systolic blood pressure
spellingShingle	Conference Paper diastolic blood pressure gene identification genetic analysis genetic variation genome-wide association study human longitudinal study mathematical computing phenotype single nucleotide polymorphism statistical model systolic blood pressure Liu, J Huang, J Ma, S Penalized multivariate linear mixed model for longitudinal genome-wide association studies
description	10.1186/1753-6561-8-S1-S73
author2	DUKE-NUS MEDICAL SCHOOL
author_facet	DUKE-NUS MEDICAL SCHOOL Liu, J Huang, J Ma, S
format	Conference or Workshop Item
author	Liu, J Huang, J Ma, S
author_sort	Liu, J
title	Penalized multivariate linear mixed model for longitudinal genome-wide association studies
title_short	Penalized multivariate linear mixed model for longitudinal genome-wide association studies
title_full	Penalized multivariate linear mixed model for longitudinal genome-wide association studies
title_fullStr	Penalized multivariate linear mixed model for longitudinal genome-wide association studies
title_full_unstemmed	Penalized multivariate linear mixed model for longitudinal genome-wide association studies
title_sort	penalized multivariate linear mixed model for longitudinal genome-wide association studies
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/181751
_version_	1683425080749588480

Penalized multivariate linear mixed model for longitudinal genome-wide association studies

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