Comparison of Affymetrix GeneChip expression measures

Rafael A. Irizarry, Zhijin Wu, Harris A. Jaffee

Research output: Contribution to journalArticlepeer-review

Abstract

Motivation: 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. Results: 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.

Original languageEnglish (US)
Pages (from-to)789-794
Number of pages6
JournalBioinformatics
Volume22
Issue number7
DOIs
StatePublished - Apr 1 2006

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Fingerprint

Dive into the research topics of 'Comparison of Affymetrix GeneChip expression measures'. Together they form a unique fingerprint.

Cite this