A model for measurement error for gene expression arrays

David M Rocke, Blythe Durbin

Research output: Contribution to journalArticlepeer-review

316 Scopus citations


We introduce a model for measurement error in gene expression arrays as a function of the expression level. This model, together with analysis methods, data transformations, and weighting, allows much more precise comparisons of gene expression, and provides guidance for analysis of background, determination of confidence intervals, and preprocessing data for multivariate analysis.

Original languageEnglish (US)
Pages (from-to)557-569
Number of pages13
JournalJournal of Computational Biology
Issue number6
StatePublished - 2001


  • cDNA array
  • Microarray
  • Oligonucleotide array
  • Statistical analysis

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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