MOF: An R Function to Detect Outlier Microarray

Song Yang, Xiang Guo, Hai Hu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


We developed an R function named "microarray outlier filter" (MOF) to assist in the identification of failed arrays. In sorting a group of similar arrays by the likelihood of failure, two statistical indices were employed: the correlation coefficient and the percentage of outlier spots. MOF can be used to monitor the quality of microarray data for both trouble shooting, and to eliminate bad datasets from downstream analysis. The function is freely avaliable at

Original languageEnglish
Pages (from-to)186-189
Number of pages4
JournalGenomics, Proteomics and Bioinformatics
Issue number3-4
StatePublished - 2008
Externally publishedYes


  • R function
  • microarray
  • quality assurance
  • statistics


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