Missing value imputation for gene expression data: computational techniques to recover missing data from available information

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Title Missing value imputation for gene expression data: computational techniques to recover missing data from available information
Author Liew, Alan Wee-Chung; Law, Ngai-Fong; Yan, Hong
Journal Name Briefings in Bioinformatics
Year Published 2011
Place of publication United Kingdom
Publisher Oxford University Press
Abstract Microarray gene expression data generally suffers from missing value problem due to a variety of experimental reasons. Since the missing data points can adversely affect downstream analysis, many algorithms have been proposed to impute missing values. In this survey, we provide a comprehensive review of existing missing value imputation algorithms, focusing on their underlying algorithmic techniques and how they utilize local or global information from within the data, or their use of domain knowledge during imputation. In addition, we describe how the imputation results can be validated and the different ways to assess the performance of different imputation algorithms, as well as a discussion on some possible future research directions. It is hoped that this review will give the readers a good understanding of the current development in this field and inspire them to come up with the next generation of imputation algorithms.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1093/bib/bbq080
Copyright Statement Copyright 2011 Oxford University Press. This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Briefings in Bioinformatics following peer review. The definitive publisher-authenticated version: Missing value imputation for gene expression data: computational techniques to recover missing datafrom available information, Briefings in Bioinformatics, Vol.12(5), 2011, pp.498-513 is available online at: http://dx.doi.org/10.1093/bib/bbq080
Volume 12
Issue Number 5
Page from 498
Page to 513
ISSN 1477-4054
Date Accessioned 2011-01-25
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Information and Computing Sciences
URI http://hdl.handle.net/10072/37592
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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