P-value adjustment for multiple testing

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.

adjustedpvalues.txt · Last modified: 2017/05/24 10:36 (external edit)
Driven by DokuWiki Recent changes RSS feed Valid XHTML 1.0 do yourself a favour and use a real browser - get firefox!!