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No data transformation was performed for PA variables measured in the two populations.
Data transformation was performed by applying a normalization technique to make all the data values fall within a small range (0 1) to enable the efficient performance of the predictive model (classifier).
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Data transformations were performed in case of skewed distributed baseline variables: PAI-1, triglycerides: ln(x); usCRP, IL-6: ln(x +1).
All data transformations were performed using the contributed R package SMA (Statistical Microarray Analysis), available from 'Terry Speed's Microarray Data Analysis Group Page': http://www.stat.berkeley.edu/users/terry/zarray/Html/index.html.html
Owing to skewed data, logarithmic transformation was performed on the absolute units of spectral components of the HRV before statistical analysis.
Oligonucleotides used for plasmid construction are listed in the Figure 4 source data 2. Fungal transformation was performed as described previously (Gressler et al., 2011) and transformants were checked by diagnostic PCR and Southern blot analyses (see Figure 4 figure supplement 4).
Since the arrays contained normalized data, no additional transformation was performed.
In view of the nonparametric nature of our data, a log transformation was performed before the correlation coefficient using Pearson or Spearman test with scatter diagrams could be performed.
In view of the nonparametric nature of our data, a log transformation was performed for urine NGAL and urine protein:creatinine ratio [ r = 0.496 (95% CI 0.164 0.727), P = 0.005, Figure 4].
Data evaluation, normalisation and transformation was performed in Microsoft Excel® (http://www.microsoft.com).
First, the raw data were log10 transformed before Z score transformation was performed [ 15].
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