WebFunctional false discovery rate 3 (a) (b) Fig.1. (a) P-value histograms of Wilcoxon tests for genetic association between genes and SNPs for the eQTL experiment in Smith and … WebAn optimal joint oracle procedure, which minimizes the false non-discovery rate subject to a constraint on the false discovery rate is developed. A data-driven marginal plug-in …
False discovery rate control in genome-wide association …
WebApr 11, 2024 · Between-group differences (False Discovery Rate < 0.05) in 108 metabolites were detected. Selected candidates had higher levels of compounds within xenobiotic, pentose phosphate, and corticosteroid metabolic pathways, while non-selected candidates had higher levels of compounds potentially indica … Web2 days ago · In this context, the false discovery rate (FDR) and false non-discovery rate (FNR) are used to account for multiple comparisons. In this study, we propose non … form nclt 2
False non-discovery rate (FNR) for both plug-in and BH method, …
Web5.7.3 Validation. False discovery rates (false positives) are a major problem in proteomics and can be caused by: (1) the statistical process used to identify significant protein signal differences, and (2) the algorithms used for identifying the structures of such proteins. For example, 2D gels from treatment and controls or from different ... WebAug 10, 2015 · $\begingroup$ Good question. I would say yes. Note that in the Fisher's approach to statistical testing, p-value is taken as the strength of the evidence against the null; it is only the Neyman-Pearson approach that demands to choose an alpha beforehand and not pay attention to the p-value apart from checking if it below alpha or not. Benjamini (2010) said that the false discovery rate, and the paper Benjamini and Hochberg (1995), had its origins in two papers concerned with multiple testing: ... (False non-discovery rates) by Sarkar; Genovese and Wasserman [citation needed] is defined as: ... See more 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 comparisons. FDR-controlling procedures are designed to control the FDR, … See more Technological motivations The modern widespread use of the FDR is believed to stem from, and be motivated by, the development in technologies that allowed the … See more The settings for many procedures is such that we have $${\displaystyle H_{1}\ldots H_{m}}$$ null hypotheses tested and $${\displaystyle P_{1}\ldots P_{m}}$$ their corresponding p-values. We list these p-values in ascending order and denote them by See more The discovery of the FDR was preceded and followed by many other types of error rates. These include: • PCER (per-comparison error rate) is defined as: $${\displaystyle \mathrm {PCER} =E\left[{\frac {V}{m}}\right]}$$. Testing individually … See more Based on definitions below we can define Q as the proportion of false discoveries among the discoveries (rejections of the null hypothesis): $${\displaystyle Q=V/R=V/(V+S)}$$. where $${\displaystyle V}$$ is the number of false discoveries … See more Adaptive and scalable Using a multiplicity procedure that controls the FDR criterion is adaptive and scalable. Meaning that controlling the FDR can be very permissive (if … See more • Positive predictive value See more form ncoer