2005
DOI: 10.1093/bioinformatics/bti448
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False discovery rate, sensitivity and sample size for microarray studies

Abstract: We use a mixture model, involving differentially expressed (DE) and non-DE genes, that captures the most common problem of finding DE genes. Factors determining FDR are (1) the proportion of truly differentially expressed genes, (2) the distribution of the true differences, (3) measurement variability and (4) sample size. Many current small microarray studies are plagued with large FDR, but controlling FDR alone can lead to unacceptably large FNR. In evaluating a design of a microarray study, sensitivity or FN… Show more

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Cited by 403 publications
(299 citation statements)
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References 32 publications
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“…Expression levels were analysed in a multi-class response using significance analysis of microarray (Tusher et al, 2001). In total, 372 differentially expressed genes between the three analysed genotypes were statistically significant, with a false discovery rate of 4.18% meaning that among these 372 genes, 15 should be false positive (Pawitan et al, 2005). Respectively, 100% and more than 77% of the genes classed as differentially expressed, differed in expression by more than 1.5 Â and 2 Â .…”
Section: Resultsmentioning
confidence: 99%
“…Expression levels were analysed in a multi-class response using significance analysis of microarray (Tusher et al, 2001). In total, 372 differentially expressed genes between the three analysed genotypes were statistically significant, with a false discovery rate of 4.18% meaning that among these 372 genes, 15 should be false positive (Pawitan et al, 2005). Respectively, 100% and more than 77% of the genes classed as differentially expressed, differed in expression by more than 1.5 Â and 2 Â .…”
Section: Resultsmentioning
confidence: 99%
“…It is notable that all the cytoarchitectural traits were more significantly decreased in the bipolar disorder group as compared with the other two groups and as compared with the unaffected controls; thus, it is not surprising that more genes would show a significant correlation with trait in the bipolar and control samples. Nevertheless, genomewide microarray studies with relatively small sample sizes are prone to yielding results with low statistical power; 38 therefore, a larger sample size will be required to obtain replicable results for disorderspecific correlations.…”
Section: Discussionmentioning
confidence: 99%
“…Statistical differences between continuous variables versus the bivariate outcome variables (wound status and HO formation) were evaluated using the Mann-Whitney U test and the post hoc TukeyKramer assessment. The levels of significance for the demographic and wound-specific data were adjusted using the Bonferroni method and for the proteomic data using the false discovery rate method [14]. Associations between categorical variables were compared using Fisher's exact test or chi-square analysis, depending on the number of expected values in the contingency matrix.…”
Section: Clinical and Radiographic Followupmentioning
confidence: 99%