A model for measurement error for gene expression arrays

J Comput Biol. 2001;8(6):557-69. doi: 10.1089/106652701753307485.


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.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Computational Biology
  • Confidence Intervals
  • Data Interpretation, Statistical
  • Gene Expression Profiling / statistics & numerical data*
  • Models, Statistical*
  • Multivariate Analysis
  • Oligonucleotide Array Sequence Analysis / statistics & numerical data