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Data transformations such as log transformation are often used to improve normality.
Data transformations are the application of a mathematical modification to the values of a variable.
Data transformations were used to correct for data skewness in all linear regression models.
Data transformations can represent a powerful strategy to improve regression.
Data transformations are conducted in R.2.15.0 [ 31].
Data transformations were undertaken to ensure that assumptions of the statistical analyses were met.
Data transformations and all analyses were carried out in R V.3.0.1 [ 55].
Data transformations were also investigated in an attempt to extend other approaches beyond microarray data analysis.
Data transformations such as taking logarithms may be appropriate and any missing values can be imputed using regression techniques.
Following analyses involving data transformations, the results were back transformed to return the estimates to their original scale and units.
SystemJ is based on Java language, which is used to describe "instantaneous" data transformations.
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