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To ensure normal distribution and parametric nature of the data, the number of animals studied was determined by calculation of statistical power for a Type I and II errors of 0.05 and 0.8, respectively.
A molecular field analysis model is generated and evaluated for its robustness by calculation of statistical parameters.
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This method of frequency-based analysis typically requires an estimation of the non-synonymous background mutation rate (nsBMR) followed by calculation of the statistical likelihood of observing a certain number of mutations based on the nsBMR.
Statistical heterogeneity [ 14] was assessed by calculation of the I2 statistic and the Q-test [ 15, 16].
As expression levels of DHHC and BAX varied between repeating experiments and since the relative deviation between individual experiments (n=7) strongly influenced the calculation of statistical significance by the t-test, certain DHHC proteins did not reach the threshold of P<0.05.
Calculation of statistical power for the sample, carried out by software GPOWER 3.0.5 [ 22], showed a statistical power above 80% for the analysis performed.
Statistical analysis was completed using GraphPad Prism software and calculation of statistical significance between various groups was carried out by Student's t-tests.
Statistical analyses were performed by calculation of the odds ratio (OR).
Statistical reproducibility was assessed by calculation of saturation, the Pearson correlation of two random partitions of the sequenced sample [ 11].
The statistical analysis was performed by calculation of the area under the ROC curve (AUC) with corresponding 95% confidence intervals.
The statistical significance of the optimal alignment was assessed by calculation of their Z-score.
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