Testing significance relative to a fold-change threshold is a TREAT

@article{McCarthy2009TestingSR,
  title={Testing significance relative to a fold-change threshold is a TREAT},
  author={Davis J. McCarthy and Gordon K. Smyth},
  journal={Bioinformatics},
  year={2009},
  volume={25},
  pages={765 - 771}
}
MOTIVATION Statistical methods are used to test for the differential expression of genes in microarray experiments. The most widely used methods successfully test whether the true differential expression is different from zero, but give no assurance that the differences found are large enough to be biologically meaningful. RESULTS We present a method, t-tests relative to a threshold (TREAT), that allows researchers to test formally the hypothesis (with associated p-values) that the… CONTINUE READING
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