2006
DOI: 10.1186/1471-2105-7-333
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A methodology for global validation of microarray experiments

Abstract: Background: DNA microarrays are popular tools for measuring gene expression of biological samples. This ever increasing popularity is ensuring that a large number of microarray studies are conducted, many of which with data publicly available for mining by other investigators. Under most circumstances, validation of differential expression of genes is performed on a gene to gene basis. Thus, it is not possible to generalize validation results to the remaining majority of non-validated genes or to evaluate the … Show more

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Cited by 66 publications
(48 citation statements)
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“…Interestingly, the SCD gene, which was selected as a control non-DE (1.5× higher expression in IB, but without statistical significance), was observed to be significantly DE in the qPCR validation step (2× upregulation in IB, P  = 0.03). The substantial value of Concordance Correlation Coefficient calculated between microarray and qPCR fold-change values for these 18 genes (CCC = 0.863) indicates a remarkable agreement between both measures, validating the global reproducibility of microarray results [28]. …”
Section: Resultsmentioning
confidence: 78%
See 1 more Smart Citation
“…Interestingly, the SCD gene, which was selected as a control non-DE (1.5× higher expression in IB, but without statistical significance), was observed to be significantly DE in the qPCR validation step (2× upregulation in IB, P  = 0.03). The substantial value of Concordance Correlation Coefficient calculated between microarray and qPCR fold-change values for these 18 genes (CCC = 0.863) indicates a remarkable agreement between both measures, validating the global reproducibility of microarray results [28]. …”
Section: Resultsmentioning
confidence: 78%
“…The concordance correlation coefficient (CCC) between the fold-change values estimated in loin from microarrays and qPCR expression measures for the 18 genes was calculated to validate the global microarrays results [28]. …”
Section: Methodsmentioning
confidence: 99%
“…All of them were validated by qPCR (S11 Table). A concordance correlation coefficient, used to assess technical validation in high throughput transcriptomic studies [36] was calculated (CCC = 0.94) and denoted a high general concordance between RNA-Seq and qPCR expression values. In general good individual correlation values were obtained (S11 Table).…”
Section: Resultsmentioning
confidence: 99%
“…To validate the global RNA-Seq results, the concordance correlation coefficient (CCC) [36] was calculated between the FC values estimated from RNA-Seq and qPCR expression measures for the 5 genes analyzed by the two technologies (RNA-Seq and qPCR).…”
Section: Methodsmentioning
confidence: 99%
“…Validation of microarray data by qRT-PCR was performed on 16 genes (10 randomly selected and 6 selected from the most differentially expressed pathways) according to the approach described by Miron et al (Miron et al, 2006). Microarray data have been deposited into the Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/projects/geo/).…”
Section: Methods and Statisticsmentioning
confidence: 99%