A weighted Local Least Squares Imputation method for missing value estimation in microarray gene expression data-Reference-Cited by-同舟云学术

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A weighted Local Least Squares Imputation method for missing value estimation in microarray gene expression data

Published:2010 Issue:3 Volume:4 Page:331
ISSN:1748-5673
Container-title:International Journal of Data Mining and Bioinformatics
language:en
Short-container-title:IJDMB

Author:

Ching Wai Ki,Li min,Tsing Nam Kiu,Tai Ching Wan,Ng Tuen Wai,Wong Alice S.,Cheng Kwai Wa

Publisher

Inderscience Publishers

Subject

Library and Information Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021);Informatics in Medicine Unlocked;2021

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4. A Bicluster-Based Sequential Interpolation Imputation Method for Estimation of Missing Values in Microarray Gene Expression Data;Current Bioinformatics;2017-03-03

5. An Iterative Locally Auto-Weighted Least Squares Method for Microarray Missing Value Estimation;IEEE Transactions on NanoBioscience;2017-01

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