2004
DOI: 10.1186/1471-2164-5-17
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Improving the statistical detection of regulated genes from microarray data using intensity-based variance estimation

Abstract: Background: Gene microarray technology provides the ability to study the regulation of thousands of genes simultaneously, but its potential is limited without an estimate of the statistical significance of the observed changes in gene expression. Due to the large number of genes being tested and the comparatively small number of array replicates (e.g., N = 3), standard statistical methods such as the Student's t-test fail to produce reliable results. Two other statistical approaches commonly used to improve si… Show more

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Cited by 18 publications
(10 citation statements)
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“…Differences were considered significant at P<0.05. For microarray data, gene regulation differences of p<0.001 were considered significant as determined using Z-pool statistical methodology as described previously [16]. …”
Section: Methodsmentioning
confidence: 99%
“…Differences were considered significant at P<0.05. For microarray data, gene regulation differences of p<0.001 were considered significant as determined using Z-pool statistical methodology as described previously [16]. …”
Section: Methodsmentioning
confidence: 99%
“…In order to create this integrated experimental strategy, our laboratory first established platforms to perform genome-wide transcriptional profiling using microarrays coupled with several bioinformatics tools used for the systematic analyses of the resultant large datasets [2931]. An in vitro model system was then created in which cultured human endothelial cells can be exposed to well-defined shear stress waveforms that accurately simulate those present in vivo [32].…”
Section: Atheroprone Vs Atheroprotective Endothelial Phenotypesmentioning
confidence: 99%
“…In total, 681 genes were found to have statistically significant regulation, as determined by Z statistics (32) (Fig. 2A).…”
Section: Hemodynamic Simulation Of Coronary Collateral Shearmentioning
confidence: 99%
“…A, application of the simulated coronary collateral waveforms to cultured human EC resulted in genome-wide differences in endothelial transcriptional profiles. Significant differences across three independent samples were determined statistically for p Ͻ 0.001, using a z-statistic method of pooled variances (32). Normalizing ACC gene expression to NCC yielded 267 significantly up-regulated genes (red) and 414 significantly down-regulated genes (blue).…”
Section: Hemodynamic Simulation Of Coronary Collateral Shearmentioning
confidence: 99%