We are analyzing https://link.springer.com/article/10.1186/1471-2105-7-85.

Title:
Statistical analysis of real-time PCR data | BMC Bioinformatics
Description:
Background Even though real-time PCR has been broadly applied in biomedical sciences, data processing procedures for the analysis of quantitative real-time PCR are still lacking; specifically in the realm of appropriate statistical treatment. Confidence interval and statistical significance considerations are not explicit in many of the current data analysis approaches. Based on the standard curve method and other useful data analysis methods, we present and compare four statistical approaches and models for the analysis of real-time PCR data. Results In the first approach, a multiple regression analysis model was developed to derive ΔΔCt from estimation of interaction of gene and treatment effects. In the second approach, an ANCOVA (analysis of covariance) model was proposed, and the ΔΔCt can be derived from analysis of effects of variables. The other two models involve calculation ΔCt followed by a two group t- test and non-parametric analogous Wilcoxon test. SAS programs were developed for all four models and data output for analysis of a sample set are presented. In addition, a data quality control model was developed and implemented using SAS. Conclusion 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.
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Keywords {🔍}

pcr, data, gene, efficiency, realtime, δδct, amplification, sas, analysis, sample, control, model, file, additional, article, statistical, quality, target, treatment, number, concentration, reference, confidence, google, scholar, standard, test, samples, ratio, pubmed, estimation, expression, group, logarithm, program, regression, δct, equation, method, models, output, set, shown, effect, table, based, derived, slope, programs, linear,

Topics {✒️}

real-time quantitative rt-pcr open access article real-time rt-pcr quantitative real-time pcr real-time pcr exploits real-time pcr practitioners real-time pcr technology real-time quantitative pcr real-time pcr experiments article download pdf real-time pcr data ce1-ce3 = ce2-ce4 ce1-ce2-ce3+ce4 = 0 neal stewart jr real-time pcr efficiency real-time pcr primer real-time pcr experiment related subjects analyze real-time data methyl-jasmonate treated arabidopsis full size image real-time pcr simple linear relationship distribution-free wilcoxon test fluorescence signal correlates reverse transcribed cdna research articles published external calibration curve logarithm transformed concentration full size table privacy choices/manage cookies bmc bioinformatics 7 logarithm-based fluorescence class class con full access authors’ original file livak kj multiple regression model data quality control treatment versus control low quality data log-based fluorescence logarithm transformed concentrations effective quality control primer express software simple t-test biomed central β con represents online supplementary materials target gene versus

Questions {❓}

First, are the covariance adjusted averages among the four groups equal?

Schema {🗺️}

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         headline:Statistical analysis of real-time PCR data
         description:Even though real-time PCR has been broadly applied in biomedical sciences, data processing procedures for the analysis of quantitative real-time PCR are still lacking; specifically in the realm of appropriate statistical treatment. Confidence interval and statistical significance considerations are not explicit in many of the current data analysis approaches. Based on the standard curve method and other useful data analysis methods, we present and compare four statistical approaches and models for the analysis of real-time PCR data. In the first approach, a multiple regression analysis model was developed to derive ΔΔCt from estimation of interaction of gene and treatment effects. In the second approach, an ANCOVA (analysis of covariance) model was proposed, and the ΔΔCt can be derived from analysis of effects of variables. The other two models involve calculation ΔCt followed by a two group t- test and non-parametric analogous Wilcoxon test. SAS programs were developed for all four models and data output for analysis of a sample set are presented. In addition, a data quality control model was developed and implemented using SAS. 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.
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            Logarithm Transformed Concentration
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            Algorithms
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      headline:Statistical analysis of real-time PCR data
      description:Even though real-time PCR has been broadly applied in biomedical sciences, data processing procedures for the analysis of quantitative real-time PCR are still lacking; specifically in the realm of appropriate statistical treatment. Confidence interval and statistical significance considerations are not explicit in many of the current data analysis approaches. Based on the standard curve method and other useful data analysis methods, we present and compare four statistical approaches and models for the analysis of real-time PCR data. In the first approach, a multiple regression analysis model was developed to derive ΔΔCt from estimation of interaction of gene and treatment effects. In the second approach, an ANCOVA (analysis of covariance) model was proposed, and the ΔΔCt can be derived from analysis of effects of variables. The other two models involve calculation ΔCt followed by a two group t- test and non-parametric analogous Wilcoxon test. SAS programs were developed for all four models and data output for analysis of a sample set are presented. In addition, a data quality control model was developed and implemented using SAS. 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.
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         Amplification Efficiency
         Data Quality Control
         Simple Linear Regression Model
         Logarithm Transformed Concentration
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         Microarrays
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         Computer Appl. in Life Sciences
         Algorithms
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      affiliation:
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            address:
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