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Discovering the False Discovery Rate [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2010 SummaryI describe the background for the paper ‘Controlling the false discovery rate: a new and powerful approach to multiple comparisons’ by Benjamini and Hochberg that was published in the Journal of the Royal Statistical Society, Series B, in 1995.
Yoav Benjamini, Benjamini Yoav
exaly +3 more sources
The Functional False Discovery Rate with Applications to Genomics [PDF]
Biostatistics, 2017 Abstract The false discovery rate measures the proportion of false discoveries among a set of hypothesis tests called significant. This quantity is typically estimated based on p-values or test statistics. In some scenarios, there is additional information available that may be used to more accurately estimate the false discovery rate ...
Chen, Xiongzhi +2 more
europepmc +5 more sources
False discovery rate envelopes
Statistics and Computing, 2023 AbstractFalse discovery rate (FDR) is a common way to control the number of false discoveries in multiple testing. There are a number of approaches available for controlling FDR. However, for functional test statistics, which are discretized intomhighly correlated hypotheses, the methods must account for changes in distribution across the functional ...
Tomás Mrkvicka, Mari Myllymäki
core +4 more sources
Can the false‐discovery rate be misleading? [PDF]
PROTEOMICS, 2011 AbstractThe decoy‐database approach is currently the gold standard for assessing the confidence of identifications in shotgun proteomic experiments. Here, we demonstrate that what might appear to be a good result under the decoy‐database approach for a given false‐discovery rate could be, in fact, the product of overfitting.
Rodrigo, Barboza +8 more
openaire +3 more sources
Comprehensive Comparative Analysis of Local False Discovery Rate Control Methods
Metabolites, 2021 Due to the advance in technology, the type of data is getting more complicated and large-scale. To analyze such complex data, more advanced technique is required.
Shin June Kim, Youngjae Oh, Jaesik Jeong
doaj +2 more sources
Correspondence (reply): The application conditions of false discovery rate control [PDF]
Genes and Diseases, 2023 Hongbin Zhang, Xin Le, Tingxiu Xiang
doaj +2 more sources
Factor Analysis for Multiple Testing (FAMT): An R Package for Large-Scale Signi
Journal of Statistical Software, 2011 The R package FAMT (factor analysis for multiple testing) provides a powerful method for large-scale significance testing under dependence. It is especially designed to select differentially expressed genes in microarray data when the correlation ...
David Causeur +3 more
doaj +1 more source
Varlociraptor: enhancing sensitivity and controlling false discovery rate in somatic indel discovery
Genome Biology, 2020 Koster J, Dijkstra LJ, Marschall T, Schönhuth A. Varlociraptor: enhancing sensitivity and controlling false discovery rate in somatic indel discovery. Genome biology. 2020;21(1).Abstract Accurate discovery of somatic variants is of central importance in
Johannes Köster +3 more
doaj +2 more sources
False Discovery Rate Smoothing [PDF]
Journal of the American Statistical Association, 2018 Added misspecification analysis, added pathological scenario discussions, additional comparisons, new graph fused lasso ...
Tansey, Wesley +3 more
openaire +2 more sources
Controlling the Rate of GWAS False Discoveries [PDF]
Genetics, 2016 Abstract With the rise of both the number and the complexity of traits of interest, control of the false discovery rate (FDR) in genetic association studies has become an increasingly appealing and accepted target for multiple comparison adjustment.
Brzyski, Damian +5 more
openaire +3 more sources