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An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
Published on: September 20, 2022
A unified approach to false discovery rate estimation.
1Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Härtelstr, 16-18, 04107 Leipzig, Germany. strimmer@uni-leipzig.de
BMC Bioinformatics
|July 11, 2008
Summary
A new unifying algorithm estimates both local and tail area-based false discovery rates (FDR) across various test statistics. This semiparametric approach offers a generalized framework for FDR estimation, performing comparably to specialized methods.
Area of Science:
- Statistical Methods
- High-Dimensional Data Analysis
- Bioinformatics
Background:
- False discovery rate (FDR) methods are crucial for high-dimensional data analysis.
- Existing FDR methods include tail area-based and local FDR, with various estimation algorithms.
- These methods differ in test statistics and statistical learning procedures.
Purpose of the Study:
- To present a unifying algorithm for simultaneous estimation of local FDR and tail area-based FDR.
- To develop a semiparametric approach applicable to diverse test statistics.
- To enable empirical null modeling for accounting for dependencies among tests.
Main Methods:
- A semiparametric, unifying algorithm based on a modified Grenander density estimator.
- Application to various test statistics including p-values, correlations, z-scores, and t-scores.
- Truncated maximum-likelihood estimation for model inference, with cut-off determined by false non-discovery rate.
Main Results:
- Simultaneous estimation of local FDR and tail area-based FDR is achieved.
- The algorithm accommodates diverse test statistics and allows empirical null modeling.
- The unified approach performs comparably to specialized FDR estimation methods.
Conclusions:
- The proposed procedure generalizes specialized FDR algorithms into a common framework.
- Offers consistent FDR estimation across different test statistics and FDR types.
- Implemented in the R package "fdrtool" for accessibility.
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