ArticleActa mathematicae applicatae Sinica (English series)2022
Null-free False Discovery Rate Control Using Decoy Permutations.
Article in Acta mathematicae applicatae Sinica (English series), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Discovery of sparse, reliable omic biomarkers with Stabl.Nature biotechnology · 2024Article
- Stabl: sparse and reliable biomarker discovery in predictive modeling of high-dimensional omic data.Research square · 2023Article
- Clipper: p-value-free FDR control on high-throughput data from two conditions.Genome biology · 2021Article
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5 authors.
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Abstract
The traditional approaches to false discovery rate (FDR) control in multiple hypothesis testing are usually based on the null distribution of a test statistic. However, all types of null distributions, including the theoretical, permutation-based and empirical ones, have some inherent drawbacks. For example, the theoretical null might fail because of improper assumptions on the sample distribution. Here, we propose a null distribution-free approach to FDR control for multiple hypothesis testing in the case-control study. This approach, named
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