p values adjusted for multiple testing

Francisco García edited this page Jan 30, 2015 · 1 revision
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Three methodologies are implemented in Babelomics:

  • The method proposed by /Holm/ controls the FWER (family-wise error rate).
  • The other two methods control the FDR (false discovery rate). One of them uses the algorithm proposed by /Benjamini & Hochberg/ and the other one implements the q-values method proposed by /Storey/.

Our implementations make use of the p.adjust function in the stats R package and the qvalues package from Bioconductor.