Regularized regression method for genome-wide association studies

10.1186/1753-6561-5-S9-S67

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Bibliographic Details
Main Authors:	Liu, J, Wang, K, Ma, S, Huang, J
Other Authors:	DUKE-NUS MEDICAL SCHOOL
Format:	Conference or Workshop Item
Published:	BMC 2020
Subjects:	Bayes theorem conference paper genetic analysis genetic association genome heredity human least absolute shrinkage and selection operator priority journal regression analysis single nucleotide polymorphism
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/178163
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-178163
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spelling	sg-nus-scholar.10635-1781632020-12-04T09:37:55Z Regularized regression method for genome-wide association studies Liu, J Wang, K Ma, S Huang, J DUKE-NUS MEDICAL SCHOOL Bayes theorem conference paper genetic analysis genetic association genome heredity human least absolute shrinkage and selection operator priority journal regression analysis single nucleotide polymorphism 10.1186/1753-6561-5-S9-S67 BMC Proceedings 5 SUPPL. 9 S67 2020-10-20T08:10:07Z 2020-10-20T08:10:07Z 2011 Conference Paper Liu, J, Wang, K, Ma, S, Huang, J (2011). Regularized regression method for genome-wide association studies. BMC Proceedings 5 (SUPPL. 9) : S67. ScholarBank@NUS Repository. https://doi.org/10.1186/1753-6561-5-S9-S67 1753-6561 https://scholarbank.nus.edu.sg/handle/10635/178163 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ BMC Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Bayes theorem conference paper genetic analysis genetic association genome heredity human least absolute shrinkage and selection operator priority journal regression analysis single nucleotide polymorphism
spellingShingle	Bayes theorem conference paper genetic analysis genetic association genome heredity human least absolute shrinkage and selection operator priority journal regression analysis single nucleotide polymorphism Liu, J Wang, K Ma, S Huang, J Regularized regression method for genome-wide association studies
description	10.1186/1753-6561-5-S9-S67
author2	DUKE-NUS MEDICAL SCHOOL
author_facet	DUKE-NUS MEDICAL SCHOOL Liu, J Wang, K Ma, S Huang, J
format	Conference or Workshop Item
author	Liu, J Wang, K Ma, S Huang, J
author_sort	Liu, J
title	Regularized regression method for genome-wide association studies
title_short	Regularized regression method for genome-wide association studies
title_full	Regularized regression method for genome-wide association studies
title_fullStr	Regularized regression method for genome-wide association studies
title_full_unstemmed	Regularized regression method for genome-wide association studies
title_sort	regularized regression method for genome-wide association studies
publisher	BMC
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/178163
_version_	1686108968508719104

Regularized regression method for genome-wide association studies

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