A model for measurement error for gene expression arrays

David M Rocke, Blythe Durbin

Research output: Contribution to journalArticle

305 Citations (Scopus)

Abstract

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
Volume8
Issue number6
DOIs
StatePublished - 2001

Fingerprint

Measurement errors
Gene expression
Measurement Error
Gene Expression
Interval Data
Data Transformation
Multivariate Analysis
Weighting
Guidance
Preprocessing
Confidence interval
Confidence Intervals
Model
Background

Keywords

  • cDNA array
  • Microarray
  • Oligonucleotide array
  • Statistical analysis

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Cite this

A model for measurement error for gene expression arrays. / Rocke, David M; Durbin, Blythe.

In: Journal of Computational Biology, Vol. 8, No. 6, 2001, p. 557-569.

Research output: Contribution to journalArticle

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