Exact Integral Formulas for False Discovery Rate and the Variance of False Discovery Proportion.

ABSTRACT: Multiple hypothesis testing is an integral component of data analysis for large-scale technologies such as proteomics, transcriptomics, or metabolomics, for which the false discovery rate (FDR) and positive FDR (pFDR) have been accepted as error estimation and control measures. The pFDR is the expectation of false discovery proportion (FDP), which refers to the ratio of the number of null hypotheses to that of all rejected hypotheses. In practice, the expectation of ratio is approximated by the ratio of expectation; however, the conditions for transforming the former into the latter have not been investigated. This work derives exact integral expressions for the expectation (pFDR) and variance of FDP. The widely used approximation (ratio of expectations) is shown to be a particular case (i

SUBMITTER: Sadygov RG 

PROVIDER: S-EPMC12306663 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature