Local mean normalization of microarray element signal intensities across an array surface: Quality control and correction of spatially systematic artifacts

Carlo Colantuoni, George Henry, Scott Zeger, Jonathan Pevsner

Research output: Contribution to journalArticlepeer-review

Abstract

Here we present a methodology for the normalization of element signal intensities to a mean intensity calculated locally across the surface of a DNA microarray. These methods allow the detection and/or correction of spatially systematic artifacts in microarray data. These include artifacts that can be introduced during the robotic printing, hybridization, washing, or imaging of microarrays. Using array element signal intensities alone, this local mean normalization process can correct or such artifacts because they vary across the surface of the array. The local mean normalization can be used for quality control and data correction purposes in the analysis of microarray data. These algorithms assume that array elements are not spatially ordered with regard to sequence or biological function and require that this spatial mapping is identical between the two sets of intensities to be compared. The tool described in this report was developed in the R statistical language and is freely available on the Internet as part of a larger gene expression analysis package. This Web implementation is interactive and user-friendly and allows the early use of the local mean normalization tool described here, without programming expertise or downloading of additional software.

Original languageEnglish (US)
Pages (from-to)1316-1320
Number of pages5
JournalBioTechniques
Volume32
Issue number6
DOIs
StatePublished - 2002

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry, Genetics and Molecular Biology(all)

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