Joint estimation of calibration and expression for high-density oligonucleotide arrays

Ann L. Oberg, Douglas W. Mahoney, Karla V. Ballman, Terry M. Therneau

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Motivation: The need for normalization in microarray experiments has been well documented in the literature. Currently, many analysis methods treat normalization and analysis as a series of steps, with summarized data carried forward to the next step. Results: We present a unified algorithm which incorporates normalization and class comparison in one analysis using probe level perfect match and mismatch data. The algorithm is based on calibration models common to most biological assays, and the resulting chip-specific parameters have a natural interpretation. We show that the algorithm fits into the statistical generalized linear models framework, describe a practical fitting strategy and present results of the algorithm applied to an example dataset as well as based on metrics used in affycomp. The algorithm ranks amongst the top third of the affycomp competitors, performing best in measures of bias.

Original languageEnglish (US)
Pages (from-to)2381-2387
Number of pages7
JournalBioinformatics
Volume22
Issue number19
DOIs
StatePublished - Oct 1 2006

ASJC Scopus subject areas

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

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