Considerations when using the significance analysis of microarrays (SAM) algorithm

  title={Considerations when using the significance analysis of microarrays (SAM) algorithm},
  author={Ola Larsson and Claes Wahlestedt and James A. Timmons},
  journal={BMC Bioinformatics},
  pages={129 - 129}
Users of microarray technology typically strive to use universally acceptable data analysis strategies to determine significant expression changes in their experiments. One of the most frequently utilised methods for gene expression data analysis is SAM (significance analysis of microarrays). The impact of selection thresholds, on the output from SAM, may critically alter the conclusion of a study, yet this consideration has not been systematically evaluated in any publication. We have examined… CONTINUE READING