False Discovery Rate (FDR) is a statistical method used in neuroscience to correct for multiple comparisons. It is a less conservative approach compared to traditional methods, such as the Bonferroni correction. FDR adjusts for the distribution of p values in the data and balances the trade-off...
FALSE discovery rateINFORMATION theoryThis document is a correction notice for an article titled "Modifying the false discovery rate procedure based on the information theory under arbitrary correlation structure and its performance in high-dimensional genomic data" published in BMC Bi...
False Discovery Rate (FDR) 来自 Springer 喜欢 0 阅读量: 119 作者: S Rouam 摘要: Definition The false discovery rate (FDR) is a statistical approach used in multiple hypothesis testing to correct for multiple comparisons. It is typically used in high-throughput experiments in order to correct ...
Family-wise error rate(FWER),暂时还不了解比较通俗易懂的翻译。False discovery rate(FDR),一般翻译为错误发现率。在研究使用假设检验解决机器学习中的分类问题时,我遇到了多重假设检验问题。FWER和FDR正是解决这一问题的两种方法。经过老师和师兄师姐的指导,我能够将FDR应用于自己的问题当中,并且实验结果也有所改善...
protein sequence library searches resulted in a 9.8% increase in peptide identifications at a 1% False Discovery Rate [FDR] compared to previous OMSSA ... V Sridhara,DL Bai,C An,... - 《Proteome Science》 被引量: 10发表: 2012年 Reverse Intensity Correction for Raman Spectral Library Search...
Controlling the false discovery rate: a pratical and powerful approach to multiple testing Journal of the Royal Statistical Society. Series B. Statistical Methodology (1995) BullardJ.H. et al. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments BMC ...
Correction to: Methods of Testing a ‘Small’ or ‘Moderate’ Number of Hypotheses Simultaneously: An Account Focusing on the Control of the Probability of at Least One Incorrect Rejection and of the False Discovery Rate. J Stat Theory Pract 19, 8 (2025). https://doi.org/10.1007/s42519-...
We proposed to control the false discovery rate for multiple-testing correction in two-stage designs, using optimal sample sizes and criteria for selecting markers associated with a disease in each stage to minimize the cost of genotyping. The expected power and cost of two-stage designs were ...
Bootstrap correctionfalse discovery ratemultiple t-testsphase transitionApplying the Benjamini and Hochberg (B H) method to multiple Student's t tests is a popular technique for gene selection in microarray data analysis. Given the nonnormality of the population, the true p-values of the ...