Local false discovery rate estimation with competition‐based procedures for variable selection

Controlling the false discovery rate via competition: Is the +1 needed?

(2023) Andrew Rajchert et al.   STATISTICS & PROBABILITY LETTERS

Estimation of the proportion of true null hypotheses under sparse dependence: Adaptive FDR controlling in microarray data

(2022) Aniket Biswas et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Null-free False Discovery Rate Control Using Decoy Permutations

(2022) Kun He et al.   Acta Mathematicae Applicatae Sinica-English Series

Proteomic and Metabolomic Characterization of COVID-19 Patient Sera

(2020) Bo Shen et al.   CELL

Robust inference with knockoffs

(2020) Rina Foygel Barber et al.   ANNALS OF STATISTICS

A semiparametric mixture method for local false discovery rate estimation from multiple studies

(2020) Seok-Oh Jeong et al.   Annals of Applied Statistics

Estimating the proportion of true null hypotheses under dependency: A marginal bootstrap approach

(2020) André Neumann et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Correcting false discovery rates for their bias toward false positives

(2019) David R. Bickel et al.   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Panning for gold: ‘model-X’ knockoffs for high dimensional controlled variable selection

(2018) Emmanuel Candès et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Fast and Accurate Protein False Discovery Rates on Large-Scale Proteomics Data Sets with Percolator 3.0

(2016) Matthew The et al.   JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY

The p -filter: multilayer false discovery rate control for grouped hypotheses

(2016) Rina Foygel Barber et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Controlling the false discovery rate via knockoffs

(2015) Rina Foygel Barber et al.   ANNALS OF STATISTICS

Improved False Discovery Rate Estimation Procedure for Shotgun Proteomics

(2015) Uri Keich et al.   JOURNAL OF PROTEOME RESEARCH

A statistical model-building perspective to identification of MS/MS spectra with PeptideProphet

(2012) Kelvin Ma et al.   BMC BIOINFORMATICS

Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation

(2009) Mickael Guedj et al.   BMC BIOINFORMATICS

Empirical null and false discovery rate analysis in neuroimaging

(2008) A SCHWARTZMAN et al.   NEUROIMAGE

Statistical Validation of Peptide Identifications in Large-Scale Proteomics Using the Target-Decoy Database Search Strategy and Flexible Mixture Modeling

(2007) Hyungwon Choi et al.   JOURNAL OF PROTEOME RESEARCH