False discovery rate estimation using candidate peptides for each spectrum [PDF]
BMC Bioinformatics, 2022 Background False discovery rate (FDR) estimation is very important in proteomics. The target-decoy strategy (TDS), which is often used for FDR estimation, estimates the FDR under the assumption that when spectra are identified incorrectly, the ...
Sangjeong Lee, Heejin Park, Hyunwoo Kim
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Differentially private false discovery rate control
The Journal of Privacy and Confidentiality, 2021 Differential privacy provides a rigorous framework for privacy-preserving data analysis. This paper proposes the first differentially private procedure for controlling the false discovery rate (FDR) in multiple hypothesis testing.
Cynthia Dwork, Weijie Su, Li Zhang
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False discovery rate control for grouped hypotheses: application to miRNAome data [PDF]
PeerJBioinformatics studies often involve numerous simultaneous statistical tests, increasing the risk of false discoveries. To control the false discovery rate (FDR), these studies typically apply a statistical method called the Benjamini–Hochberg (BH ...
Nilanjana Laha +3 more
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An investigation of the false discovery rate and the misinterpretation of p -values [PDF]
Royal Society Open Science, 2014 If you use p=0.05 to suggest that you have made a discovery, you will be wrong at least 30% of the time. If, as is often the case, experiments are underpowered, you will be wrong most of the time.
David Colquhoun
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Online rules for control of false discovery rate and false discovery exceedance [PDF]
Annals of Statistics, 2018 44 pages, 9 figures, to appear in Annals of ...
Adel Javanmard, Andrea Montanari
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LncRNA functional annotation with improved false discovery rate achieved by disease associations [PDF]
Computational and Structural Biotechnology Journal, 2022 The long non‐coding RNAs (lncRNAs) play critical roles in various biological processes and are associated with many diseases. Functional annotation of lncRNAs in diseases attracts great attention in understanding their etiology.
Yongheng Wang +10 more
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False discovery rate control in cancer biomarker selection [PDF]
Genes and Diseases, 2023 Zhaoming Li
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Impact of adaptive filtering on power and false discovery rate in RNA-seq experiments [PDF]
BMC Bioinformatics, 2022 Background In RNA-sequencing studies a large number of hypothesis tests are performed to compare the differential expression of genes between several conditions.
Sonja Zehetmayer +2 more
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Exact Integral Formulas for False Discovery Rate and the Variance of False Discovery Proportion [PDF]
Journal of Proteome ResearchMultiple 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.
Rovshan G. Sadygov +2 more
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A Direct Approach to False Discovery Rates
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2002 SummaryMultiple-hypothesis testing involves guarding against much more complicated errors than single-hypothesis testing. Whereas we typically control the type I error rate for a single-hypothesis test, a compound error rate is controlled for multiple-hypothesis tests.
John D Storey
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