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How high is the level of technical noise in microarray data?

Lev Klebanov1, Andrei Yakovlev

  • 1Department of Probability and Statistics, Charles University, Sokolovska 83, Praha-8, CZ-18675, Czech Republic. levkleb@yahoo.com

Biology Direct
|April 13, 2007
PubMed
Summary
This summary is machine-generated.

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Microarray gene expression data are not as noisy as commonly believed. Technical noise in Affymetrix GeneChip data is minimal, with negligible impact on statistical analysis results.

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Microarray gene expression data often perceived as noisy due to technological limitations.
  • The MicroArray Quality Control (MAQC) Consortium study offers a chance to evaluate technical noise levels.

Purpose of the Study:

  • Quantitatively assess measurement errors in high-density oligonucleotide array technology (Affymetrix platform).
  • Investigate the true level of technical noise in microarray gene expression data.

Main Methods:

  • Reanalysis of the MAQC Consortium study data.
  • Estimation of noise from technical replicates, excluding biological variability.
  • Characterization of random fluctuations using standard deviation of log-expression signals for each probe set.

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Main Results:

  • Standard deviations of gene expression signals across technical replicates are uniformly small and symmetrically distributed.
  • The observed technical noise level does not introduce significant bias in pair-wise correlation coefficients.
  • Analysis confirms low random fluctuations in Affymetrix GeneChip microarray data.

Conclusions:

  • Contrary to popular belief, technical noise in Affymetrix GeneChip microarray data is low.
  • The impact of random fluctuations on statistical inference from this data is negligible.
  • Findings suggest greater reliability of Affymetrix microarray data than previously assumed.