ArticleJournal of the American Statistical Association2018
Controlling the FDR in imperfect matches to an incomplete database.
Article in Journal of the American Statistical Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- miRNA Expression Profile in Primary Limbal Epithelial Cells of Aniridia Patients.Investigative ophthalmology & visual science · 2025Article
- Integrative analysis of GWAS and transcriptomics data reveal key genes for non-small lung cancer.Medical oncology (Northwood, London, England) · 2023Article
- Influence of Pelvic Intensity-Modulated Radiation Therapy With Concurrent Cisplatin-Based Chemotherapy of Cervical Cancer on the Vaginal Microbiome.Frontiers in oncology · 2021Article
- Averaging Strategy To Reduce Variability in Target-Decoy Estimates of False Discovery Rate.Journal of proteome research · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
We consider the problem of controlling the FDR among discoveries from searching an incomplete database. This problem differs from the classical multiple testing setting because there are two different types of false discoveries: those arising from objects that have no match in the database and those that are incorrectly matched. We show that commonly used FDR controlling procedures are inadequate for this setup, a special case of which is tandem mass spectrum identification. We then derive a novel FDR controlling approach which extensive simulations suggest is unbiased. We also compare its performance with problem-specific as well as general FDR controlling procedures using both simulated and real mass spectrometry data.
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