A general method for accurate estimation of false discovery rates in ...

, the observed line of estimated and real ratios of findings is a diagonal line, so that the estimated ratio of findings is one-to-one identical ...

To address this statistically challenging problem in the analysis of the omic data, we propose a general method for generating a set of multiple ...

A general method for accurate estimation of false discovery rates in ...

Several multiple-testing procedures such as Bonferroni procedure, Benjamini-Hochberg (BH) procedure and Westfall-Young procedure have been developed, among ...

A Direct Approach to False Discovery Rates - jstor

... reliable the methods ... Estimation and inference for the positive false discovery rate and false ... the rejection region whereas our method estimates FDR ...

A practical guide to methods controlling false discoveries in ...

Statistical methods that control the false discovery rate (FDR) have emerged as popular and powerful tools for error rate control. While classic ...

False Discovery Rate

In order to be able to identify as many significant comparisons as possible while still maintaining a low false positive rate, the False Discovery Rate (FDR) ...

Accurate Estimation of Context-Dependent False Discovery Rates in ...

Two approaches, parametric and non-parametric, have been used to determine the PrSM-level FDR from a decoy distribution. With a non-parametric approach, for a ...

A Scalable Approach for Protein False Discovery Rate Estimation in ...

Calculating the number of confidently identified proteins and estimating false discovery rate (FDR) is a challenge when analyzing very large proteomic data ...

Estimating False Discovery Proportion Under Arbitrary Covariance ...

tor captures the general ... procedure will give an accurate estimate of FDP. ... Storey, J. D. (2002), “A Direct Approach to False Discovery Rates, ...

False discovery rate estimation using candidate peptides for each ...

The target-decoy strategy (henceforth TDS) is a simple approach that is frequently used to estimate the FDR in proteomics [14, 15]. This ...

Accurate estimation of context-dependent false discovery rates in ...

This technique has the potential to identify and characterize thousands of proteoforms within a single study, but the absence of accurate false discovery rate ( ...

Null-free False Discovery Rate Control Using Decoy Permutations

The traditional approaches to false discovery rate (FDR) ... A general method for accurate estimation of false discovery rates in identification of ...

A Direct Approach to False Discovery Rates - ResearchGate

This new approach offers increased applicability, accuracy and power. We apply the methodology to both the positive false discovery rate pFDR ...

False discovery rate - Wikipedia

In statistics, the false discovery rate (FDR) is a method of conceptualizing the rate of type I errors in null hypothesis testing when conducting multiple ...

False discovery rate approach to dynamic change detection

The false discovery rate (FDR) at each time point is shown to be controlled under some mild conditions on the dependence structure of data streams. A data- ...

A simple procedure for estimating the false discovery rate

Motivation: The most used criterion in microarray data analysis is nowadays the false discovery rate (FDR). In the framework of estimating procedures based on ...

Strong control, conservative point estimation and simultaneous ...

The false discovery rate (FDR) is a multiple hypothesis testing quantity that describes the expected proportion of false positive results among all rejected ...

Exact Integral Formulas for False Discovery Rate and the Variance ...

The pFDR is the expectation of false discovery proportion (FDP), which refers to the ratio of the number of null hypotheses to that of all ...

Towards Accurate Estimation of the Proportion of True Null ... - PLOS

It was found that a very simple method gives the most accurate estimation in a dominantly large area of the parameter space. Given its simplicity and its ...

False Discovery Rate – Glossary - Split Software

False Discovery Rate (FDR) is a measure of accuracy when multiple hypotheses are being tested at once. Ex: multiple metrics measured in the same experiment.