| Abstract: | Background 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. |
