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Related Experiment Videos

Evaluation of microarray data normalization procedures using spike-in experiments.

Patrik Rydén1, Henrik Andersson, Mattias Landfors

  • 1Department of Clinical Microbiology Division of Clinical Bacteriology, Umeå University, SE-90187 Umeå, Sweden. patrik.ryden@climi.umu.se

BMC Bioinformatics
|June 16, 2006
PubMed
Summary
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Spike-in experiments reveal that most microarray analysis methods underestimate gene regulation and exhibit bias. The constrained model (CM-procedure) and partial filtration offer improved sensitivity for detecting differentially expressed genes.

Area of Science:

  • Bioinformatics
  • Genomics
  • Microarray Analysis

Background:

  • Numerous microarray data analysis methods exist, but few comparative studies evaluate their performance.
  • Spike-in experiments provide a controlled method to characterize data and compare analysis techniques.

Purpose of the Study:

  • To evaluate the performance of various established and novel microarray data analysis methods.
  • To compare the sensitivity, bias, and standard deviation of different preprocessing and normalization techniques.

Main Methods:

  • A spike-in experiment was conducted using eight in-house produced cDNA-microarray arrays.
  • The EDMA software package was utilized to analyze 252 normalization methods.
  • Performance was assessed by measuring sensitivity at low false positive rates, overall bias, and standard deviation.

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Main Results:

  • Most analysis methods underestimated gene regulation, with less than 50% of true regulations detected.
  • Bias was dependent on mRNA concentration, with lower concentrations leading to higher bias.
  • The constrained model (CM-procedure) and partial filtration demonstrated significantly higher sensitivity compared to commonly used methods.

Conclusions:

  • Spike-in experiments are effective for evaluating microarray preprocessing procedures.
  • The CM-procedure and partial filtration are recommended for detecting differentially expressed genes when bias is not a primary concern.