A simulation-based approach for evaluating microarray analyses

Natalie J. Blades, Scott D. Grimshaw, Carly R. Pendleton

Research output: Contribution to journalArticlepeer-review


The biological complexity of gene expression makes simulation of gene expression data difficult. We propose a spike-in simulation that adds a single simulated gene to the data set of interest. Features of this spike-in gene may be manipulated to observe how often the spiked-in gene appears in the list of differentially expressed genes. This approach provides insight into the data analysis method, the observed data, and the manner in which the method and data interact without relying on indefensible assumptions regarding gene coexpression.

Original languageEnglish (US)
Pages (from-to)533-536
Number of pages4
Issue number3
StatePublished - Jul 2010
Externally publishedYes


  • Gene expression simulation
  • Spike-in simulation

ASJC Scopus subject areas

  • General Medicine
  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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