article Open AccessTop 1% cited

Statistical analysis of real-time PCR data

BMC Bioinformatics · 2006 · Vol. 7(1) · pp. 85–85

Joshua S. Yuan✉(University of Tennessee at Knoxville)Ann M. Reed(University of Tennessee at Knoxville)Feng Chen(University of Tennessee at Knoxville)C. Neal Stewart(University of Tennessee at Knoxville)

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Abstract

Practical statistical solutions with SAS programs were developed for real-time PCR data and a sample dataset was analyzed with the SAS programs. The analysis using the various models and programs yielded similar results. Data quality control and analysis procedures presented here provide statistical elements for the estimation of the relative expression of genes using real-time PCR.

Molecular Biology Techniques and Applications Gene expression and cancer classification Agriculture, Soil, Plant ScienceComputer scienceData miningAnalysis of covarianceStatistical modelSample size determinationStatistical hypothesis testingWilcoxon signed-rank testSample (material)Nonparametric statisticsParametric statistics

MeSH terms

Analysis of VarianceAnimalsCloning, MolecularData Interpretation, StatisticalHumansModels, BiologicalProgramming LanguagesQuality ControlRegression AnalysisRNASensitivity and SpecificitySoftwareStatistics as TopicReproducibility of ResultsModels, Statistical

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References

Relative expression software tool (REST(C)) for group-wise comparison and statistical analysis of relative expression results in real-time PCR