Accurate error control in high‐dimensional association testing using conditional false discovery rates
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Publication:6091686
DOI10.1002/bimj.201900254zbMath1523.62151OpenAlexW3135758431MaRDI QIDQ6091686
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Publication date: 27 November 2023
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201900254
empirical Bayesunsupervised learningfalse discovery rateconditional false discovery ratehigh-dimensional association studytranscriptome-wide association study
Cites Work
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- Single-index modulated multiple testing
- The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
- Unsupervised empirical Bayesian multiple testing with external covariates
- On large deviations of the empiric D.F. of vector chance variables and a law of the iterated logarithm
- Adaptive linear step-up procedures that control the false discovery rate
- False discovery control with p-value weighting
- Weighted False Discovery Rate Control in Large-Scale Multiple Testing
- AdaPT: An Interactive Procedure for Multiple Testing with Side Information
- Covariate-Assisted Ranking and Screening for Large-Scale Two-Sample Inference
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