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DEG, PP, and MB collected skeletal muscle biopsies and blood, performed RNA extraction, selection of internal control genes for qPCR, qPCR analysis, and data transformation.
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Statistical analysis and data transformations (log transformation, SD and SE, comparison of means, confidence intervals, coefficient of variation, percentile distribution) were performed with the PRISM Software Version 2.0 (GraphPad, San Diego, CA, USA).
A structured approach for matching requirements to visual form based on work domain analysis, task analysis, scale matching, and data transformations is presented.
Data preparation: Data processing should be reported, including the assessment of multivariate normality, analysis of missing data, method to address missing data, and data transformations.
Statistical analysis without data transformation may violate the underlying assumption because of non-normal error distributions, potentially also compounded with a correlated covariance structure.
ShortRead is provided in the R and Bioconductor environments, allowing ready access to additional facilities for advanced statistical analysis, data transformation, visualization and integration with diverse genomic resources.
Calculation of the between-day analysis requires a data transformation to provide a score for each subject that represents the events of each day across each time measurement.
These are the operators on the tabular data that exchange rows and columns, and enable data transformations useful in data modeling, data analysis, and data presentation.
Details of GeneSpring analysis including data transformations, per chip and per gene normalisations are described below in Analysis and Design.
The algebraic procedures include differencing, ratioing, indexes (like Normalized Difference Vegetation Index – NDVI), while the mathematical analysis techniques include data transformations (like Principal Component Analysis - PCA, Tasselled Cap Transform – TCT, Multivariate Alteration Detector - MAD), Artificial Neural Network (ANN) analysis, fuzzy logic, Bayesian network and others.
The rationale for employing complementary data analysis packages and details of data transformation have been described elsewhere [ 52].
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