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The traditional approaches to false discovery rate (FDR) control in multiple hypothesis testing are usually based on the null distribution of a test statistic.
Multiple competition-based fdr control for peptide detection
Emery, K., S. Hasam, W. S. Noble, and U. Keich (2019) · 1907
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Ggm knockoff filter: False discovery rate control for gaussian graphical models
Li, J. and M. H. Maathuis (2019) · 1908
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Controlling the fdr in variable selection via multiple knockoffs
Emery, K. and U. Keich (2019) · 1911
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The control of the false discovery rate in multiple testing under dependency
Benjamini, Y. and D. Yekutieli (2001) · 2001
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Empirical bayes analysis of a microarray experiment
Efron, B., R. Tibshirani, J. D. Storey, and V. Tusher (2001) · 2001
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Significance analysis of microarrays applied to the ionizing radiation response
Tusher, V. G., R. Tibshirani, and G. Chu (2001) · 2001
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Empirical bayes methods and false discovery rates for microarrays
Efron, B. and R. Tibshirani (2002) · 2002
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Knockoff boosted tree for model-free variable selection
Jiang, T., Y. Li, and A. A. Motsinger-Reif (2020) · 2002
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Some results on false discovery rate in stepwise multiple testing procedures
Sarkar, S. K. (2002) · 2002
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A direct approach to false discovery rates
Storey, J. D. (2002) · 2002
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Statistical significance for genomewide studies
Storey, J. D. and R. Tibshirani (2003) · 2003
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Recognition of the agrobacterium tumefaciens vire2 translocation signal by the virb/d4 transport system does not require vire1
Vergunst, A. C., M. C. van Lier, A. den Dulk-Ras, and P. J. Hooykaas (2003) · 2003
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Large-scale simultaneous hypothesis testing: the choice of a null hypothesis
Efron, B. (2004) · 2004
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Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach
Storey, J. D., J. E. Taylor, and D. Siegmund (2004) · 2004
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Estimating the proportion of true null hypotheses, with application to dna microarray data
Langaas, M., B. H. Lindqvist, and E. Ferkingstad (2005) · 2005
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A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data
Xie, Y., W. Pan, and A. B. Khodursky (2005) · 2005
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Utility of correlation measures in analysis of gene expression
Almudevar, A., L. B. Klebanov, X. Qiu, P. Salzman, and A. Y. Yakovlev (2006) · 2006
Earlier work this paper cites.
Adaptive linear step-up procedures that control the false discovery rate
Benjamini, Y., A. M. Krieger, and D. Yekutieli (2006) · 2006
Earlier work this paper cites.
Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses
Meinshausen, N., J. Rice, et al. (2006) · 2006
Earlier work this paper cites.
Size, power and false discovery rates
Efron, B. (2007) · 2007
Earlier work this paper cites.
Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry
Elias, J. E. and S. P. Gygi (2007) · 2007
Cited alongside, same era.
Microarrays, empirical bayes and the two-groups model
Efron, B. (2008) · 2008
Cited alongside, same era.
A unified approach to false discovery rate estimation
Strimmer, K. (2008) · 2008
Cited alongside, same era.
Agrobacterium tumefaciens promotes tumor induction by modulating pathogen defense in arabidopsis thaliana
Lee, C.-W., M. Efetova, J. C. Engelmann, R. Kramell, C. Wasternack, J. Ludwig-Müller, R. Hedrich, and R. Deeken (2009) · 2009
Cited alongside, same era.
A censored beta mixture model for the estimation of the proportion of non-differentially expressed genes
Markitsis, A. and Y. Lai (2010) · 2010
Cited alongside, same era.
Ipad: Stable interpretable forecasting with knockoffs inference
Fan, Y., J. Lv, M. Sharifvaghefi, and Y. Uematsu (2019) · 2019
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Improving the stability of the knockoff procedure: Multiple simultaneous knockoffs and entropy maximization
Gimenez, J. R. and J. Zou (2019) · 2019
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Multilayer knockoff filter: Controlled variable selection at multiple resolutions
Katsevich, E. and C. Sabatti (2019) · 2019
Closest in time.
Averaging strategy to reduce variability in target-decoy estimates of false discovery rate
Keich, U., K. Tamura, and W. S. Noble (2019) · 2019
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Deep knockoffs
Romano, Y., M. Sesia, and E. Candès (2019) · 2019
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False discovery rate control in cancer biomarker selection using knockoffs
Shen, A., H. Fu, K. He, and H. Jiang (2019) · 2019
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Scott, J. G. and J. O. Berger (2010) · 2010
Cited alongside, same era.
Multiple hypothesis testing in proteomics: a strategy for experimental work
Diz, A. P., A. Carvajal-Rodríguez, and D. O. Skibinski (2011) · 2011
Cited alongside, same era.
Probability theory: independence, interchangeability, martingales
Chow, Y. S. and H. Teicher (2012) · 2012
Cited alongside, same era.
Large-scale inference: empirical Bayes methods for estimation, testing, and prediction
Efron, B. (2012) · 2012
Cited alongside, same era.
Multiple hypothesis testing methods for large-scale peptide identification in computational proteomics
He, K. (2013) · 2013
Cited alongside, same era.
He, K., Y. Fu, W.-F. Zeng, L. Luo, H. Chi, C. Liu, L.-Y. Qing, R.-X. Sun, and S.-M. He (2015) · 2015
Cited alongside, same era.
Unbiased false discovery rate estimation for shotgun proteomics based on the target-decoy approach
Levitsky, L. I., M. V. Ivanov, A. A. Lobas, and M. V. Gorshkov (2017) · 2017
Cited alongside, same era.
Closest in time.
Robust inference with knockoffs
Barber, R. F., E. J. Candès, and R. J. Samworth (2020) · 2020
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Controlling the FDR through multiple competition
Emery, K. (2020) · 2020
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Rank: Large-scale inference with graphical nonlinear knockoffs
Fan, Y., E. Demirkaya, G. Li, and J. Lv (2020) · 2020
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Model-free feature screening and fdr control with knockoff features
Liu, W., Y. Ke, J. Liu, and R. Li (2020) · 2020
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Protein probability model for high-throughput protein identification by mass spectrometry-based proteomics
Prieto, G. and J. Vázquez (2020) · 2020
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Compositional knockoff filter for high-dimensional regression analysis of microbiome data
Srinivasan, A., L. Xue, and X. Zhan (2020) · 2020
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Tailor: A nonparametric and rapid score calibration method for database search-based peptide identification in shotgun proteomics
Sulimov, P. and A. Kertész-Farkas (2020) · 2020
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A powerful procedure that controls the false discovery rate with directional information
Tian, Z., K. Liang, and P. Li (2020) · 2020
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Phase transition and regularized bootstrap in large-scale t t -tests with false discovery rate control
Liu, W., Q.-M. Shao, et al. (2014) · 2025
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A general method for accurate estimation of false discovery rates in identification of differentially expressed genes
Tan, Y.-D. and H. Xu (2014) · 2025
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The positive false discovery rate: a bayesian interpretation and the q-value
Storey, J. D. (2003) · 2035
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Comments on the analysis of unbalanced microarray data
Kerr, K. F. (2009) · 2041
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Controlling the false discovery rate via knockoffs
Barber, R. F. and E. J. Candès (2015) · 2085
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