How to improve postgenomic knowledge discovery using imputation

Sehgal, Muhammad Shoaib B., Gondal, Iqbal, Dooley, Laurence S. and Coppel, Ross (2009) How to improve postgenomic knowledge discovery using imputation. Eurasip Journal on Bioinformatics and Systems Biology, 2009 71736.1-71736.14. doi:10.1155/2009/717136


Author Sehgal, Muhammad Shoaib B.
Gondal, Iqbal
Dooley, Laurence S.
Coppel, Ross
Title How to improve postgenomic knowledge discovery using imputation
Journal name Eurasip Journal on Bioinformatics and Systems Biology   Check publisher's open access policy
ISSN 1687-4153
1687-4145
Publication date 2009-01-01
Sub-type Article (original research)
DOI 10.1155/2009/717136
Open Access Status DOI
Volume 2009
Start page 71736.1
End page 71736.14
Total pages 14
Place of publication Heidelberg, Germany
Publisher SpringerOpen
Language eng
Subject 060102 Bioinformatics
080109 Pattern Recognition and Data Mining
Abstract While microarrays make it feasible to rapidly investigate many complex biological problems, their multistep fabrication has the proclivity for error at every stage. The standard tactic has been to either ignore or regard erroneous gene readings as missing values, though this assumption can exert a major influence upon postgenomic knowledge discovery methods like gene selection and gene regulatory network (GRN) reconstruction. This has been the catalyst for a raft of new flexible imputation algorithms including local least square impute and the recent heuristic collateral missing value imputation, which exploit the biological transactional behaviour of functionally correlated genes to afford accurate missing value estimation. This paper examines the influence of missing value imputation techniques upon postgenomic knowledge inference methods with results for various algorithms consistently corroborating that instead of ignoring missing values, recycling microarray data by flexible and robust imputation can provide substantial performance benefits for subsequent downstream procedures.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Article ID 717136

Document type: Journal Article
Sub-type: Article (original research)
Collections: ERA 2012 Admin Only
Institute for Molecular Bioscience - Publications
 
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Created: Mon, 19 Jan 2009, 22:54:24 EST by Marianne Steentsma on behalf of Library Corporate Services