In quantitative proteomics work, the differences in expression of many separate proteins are
routinely examined to test for significant differences between treatments. This leads to the
multiple hypothesis testing problem: when many separate tests are performed many will be
significant by chance and be false positive results. Statistical methods such as the false
discovery rate method that deal with this problem have been disseminated for more than
one decade. However a survey of proteomics journals shows that such tests are not widely …