2003
DOI: 10.1093/bioinformatics/btf877
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Identifying differentially expressed genes using false discovery rate controlling procedures

Abstract: An R program that adjusts p-values using FDR controlling procedures is freely available over the Internet at www.math.tau.ac.il/~ybenja.

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Cited by 1,570 publications
(1,212 citation statements)
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References 18 publications
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“…After data pre-processing using within-array global loess normalization, the empirical eBayes method in Limma, which computes moderated t-statistics, moderated F-statistics, and log-odds of differential expression, was applied to identify the significance of differential expression in each culture condition. Adjustment for multiple testing was carried out using the false discovery rate (FDR) method [71] in Limma. Significant changes in gene expression were limited to p < 0.05.…”
Section: Methodsmentioning
confidence: 99%
“…After data pre-processing using within-array global loess normalization, the empirical eBayes method in Limma, which computes moderated t-statistics, moderated F-statistics, and log-odds of differential expression, was applied to identify the significance of differential expression in each culture condition. Adjustment for multiple testing was carried out using the false discovery rate (FDR) method [71] in Limma. Significant changes in gene expression were limited to p < 0.05.…”
Section: Methodsmentioning
confidence: 99%
“…Migration time and ion signal intensity (amplitude) were normalized using internal polypeptide standards [45], [46]. For the identification of potential biomarkers, the reported p-values were calculated using the Wilcoxon Rank-Sum test followed by adjustment for multiple testing using the method described by Benjamini and Hochberg [47]. Disease-specific polypeptide patterns were generated using SVM based MosaCluster software [48].…”
Section: Methodsmentioning
confidence: 99%
“…All analyses were performed using StatView, version 5.0 (SAS Institute, Cary, NC). Benjamini and Hochberg post hoc correction for multiple comparisons was applied to reduce falsepositive results (25).…”
Section: Analysis Of Tendon Biomechanicsmentioning
confidence: 99%