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PMID: 16410320 Published · ppublish English Comparative Study Journal Article

Comparison of Affymetrix GeneChip expression measures.

Bioinformatics (Oxford, England) ·Vol. 22 ·No. 7 ·2006-04-01 ·Pages 789-94

Irizarry RA, Wu Z, Jaffee HA

Abstract

In the Affymetrix GeneChip system, preprocessing occurs before one obtains expression level measurements. Because the number of competing preprocessing methods was large and growing we developed a benchmark to help users identify the best method for their application. A webtool was made available for developers to benchmark their procedures. At the time of writing over 50 methods had been submitted. We benchmarked 31 probe set algorithms using a U95A dataset of spike in controls. Using this dataset, we found that background correction, one of the main steps in preprocessing, has the largest effect on performance. In particular, background correction appears to improve accuracy but, in general, worsen precision. The benchmark results put this balance in perspective. Furthermore, we have improved some of the original benchmark metrics to provide more detailed information regarding precision and accuracy. A handful of methods stand out as providing the best balance using spike-in data with the older U95A array, although different experiments on more current arrays may benchmark differently. The affycomp package, now version 1.5.2, continues to be available as part of the Bioconductor project (http://www.bioconductor.org). The webtool continues to be available at http://affycomp.biostat.jhsph.edu [email protected] Supplementary data are available at Bioinformatics online.

MeSH Terms
Algorithms Benchmarking Gene Expression Profiling/methods Oligonucleotide Array Sequence Analysis/instrumentation,methods Reproducibility of Results Software
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Irizarry Rafael A
Department of Biostatistics, Johns Hopkins University, 615 N. Wolfe Street, Baltimore, MD 21205, USA. [email protected]
Wu Zhijin
Jaffee Harris A
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2006-04-01
Epub
2006-00-12
Pages
789-94
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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