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Both the response and predictor variables have been transformed using a natural logarithm transformation.
A number of primary human epithelial cells, including esophageal squamous cells, have been transformed using a combination of viral oncoproteins, hTERT, and oncogenic Ras [9], [18], [29], [30].
For example, three randomly generated calibration and validation matrices were combined with the Raman spectral data that had been transformed using a first derivative and EMSC.
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The product of factors can be transformed using a transformation function f.
Specifically, data from the SRI-25 External Protective subscale were transformed using an inverse transformation; data from the RFL Fear of Suicide subscale were transformed using a logarithm transformation; and data from the Perceived Social Support from Friends Scale were reflected in addition to being transformed using a square root transformation.
TG levels were transformed using a logarithmic transformation (see Supplementary Material for a power transformation approach).
The raw data were transformed using a logistic transformation (transformed utility=log ((1-utility)/utility)).
Latency to reach the food data were right skewed and were transformed using a reciprocal transformation.
Therefore, these were transformed using a log transformation (log10) to run parametric tests on data.
To compare continuous variables we used t tests, with skewed data being transformed using a logarithmic transformation before analysis.
Non-normal distributions were transformed using a log transformation, and if the distribution was persistently non-normal, a Mann-Whitney test was used to compare groups.
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