Missing value estimation for microarray data by bayesian principal component analysis and iterative local least squares

10.1155/2013/162938

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Bibliographic Details
Main Authors:	Shi, F, Zhang, D, Chen, J, Karimi, H.R
Other Authors:	ELECTRICAL AND COMPUTER ENGINEERING
Format:	Article
Published:	2020
Subjects:	Bayesian principal component analysis Iterative framework Least squares methods Local least squares Microarray analysis Microarray data Missing value estimation Missing values Autocorrelation Estimation Iterative methods Principal component analysis Least squares approximations
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/180796
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-180796
record_format	dspace
spelling	sg-nus-scholar.10635-1807962024-04-25T03:44:42Z Missing value estimation for microarray data by bayesian principal component analysis and iterative local least squares Shi, F Zhang, D Chen, J Karimi, H.R ELECTRICAL AND COMPUTER ENGINEERING Bayesian principal component analysis Iterative framework Least squares methods Local least squares Microarray analysis Microarray data Missing value estimation Missing values Autocorrelation Estimation Iterative methods Principal component analysis Least squares approximations 10.1155/2013/162938 Mathematical Problems in Engineering 2013 162938 2020-10-27T04:46:47Z 2020-10-27T04:46:47Z 2013 Article Shi, F, Zhang, D, Chen, J, Karimi, H.R (2013). Missing value estimation for microarray data by bayesian principal component analysis and iterative local least squares. Mathematical Problems in Engineering 2013 : 162938. ScholarBank@NUS Repository. https://doi.org/10.1155/2013/162938 1024-123X https://scholarbank.nus.edu.sg/handle/10635/180796 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	Bayesian principal component analysis Iterative framework Least squares methods Local least squares Microarray analysis Microarray data Missing value estimation Missing values Autocorrelation Estimation Iterative methods Principal component analysis Least squares approximations
spellingShingle	Bayesian principal component analysis Iterative framework Least squares methods Local least squares Microarray analysis Microarray data Missing value estimation Missing values Autocorrelation Estimation Iterative methods Principal component analysis Least squares approximations Shi, F Zhang, D Chen, J Karimi, H.R Missing value estimation for microarray data by bayesian principal component analysis and iterative local least squares
description	10.1155/2013/162938
author2	ELECTRICAL AND COMPUTER ENGINEERING
author_facet	ELECTRICAL AND COMPUTER ENGINEERING Shi, F Zhang, D Chen, J Karimi, H.R
format	Article
author	Shi, F Zhang, D Chen, J Karimi, H.R
author_sort	Shi, F
title	Missing value estimation for microarray data by bayesian principal component analysis and iterative local least squares
title_short	Missing value estimation for microarray data by bayesian principal component analysis and iterative local least squares
title_full	Missing value estimation for microarray data by bayesian principal component analysis and iterative local least squares
title_fullStr	Missing value estimation for microarray data by bayesian principal component analysis and iterative local least squares
title_full_unstemmed	Missing value estimation for microarray data by bayesian principal component analysis and iterative local least squares
title_sort	missing value estimation for microarray data by bayesian principal component analysis and iterative local least squares
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/180796
_version_	1800914609871257600

Missing value estimation for microarray data by bayesian principal component analysis and iterative local least squares

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