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.

Pleiotropy-informed conditional and conjunctional false discovery rate allows to boost loci discovery in low-powered GWAS by levereging pleiotropic enrichment with a larger GWAS on …

Estimate positive false discovery rate for multiple hypothesis testing. FDR = mafdr(PValues) returns FDR that contains a positive false discovery rate (pFDR) for each entry in PValues …

The Benjamini–Hochberg method controls the False Discovery Rate (FDR) using sequential modified Bonferroni correction for multiple hypothesis testing. While the Bonferroni correction …

2 天之前 · This research combines FDR estimation via the location-based estimator (LBE) with FDR control using the Benjamini-Hochberg (BH) procedure to enhance the reliability of …

2019年6月4日 · We investigate the accuracy, applicability, and ease of use of two classic and six modern FDR-controlling methods by performing a systematic benchmark comparison using …

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 …

The authors explain mathematically how the FDR relates to the family-wise error rate (FWER), provide a simple example of how to use the FDR, and conduct a simulation study …

2012年2月4日 · We introduce ComBat-ref, a new method of batch effect correction that enhances the statistical power and reliability of differential expression analysis in RNA-seq data. Building …

差异表达分析往往以logFC/修正后p值/fdr进行筛选，而基因差异分析一般只以p值为筛选条件，阈值的标准比较低，画箱线图，图中的基因可以不是差异基因，而上面画的图都是差异基因 需 …