Statistical analyses were performed with Prism 4 from GaphPad Software, using one-way ANOVA and the Tukey-Kramer test for determination of P values.
Because the MMP expression levels were highly skewed, Box-Cox transformations [ 15] were used for the determination of p-values, with optimum λ = 0,19 for MMP1 in tumor stroma and optimum λ = 0,16 for MMP1 expression in tumor cells.
These control sets allow the determination of probability (p-value) that a breakpoint set is close to a motif set (b-p to motif).
The analysis of variance (ANOVA) revealed a high coefficient of determination (p-value < 0.0001, R2 = 97.99%, Adj-R2 = 95.98%) between experimental Cr VI) removal efficiency and predicted one by RSM developed model.
Model fit was assessed at each stage, using the coefficient of determination (R), p-value, and parameter estimate.
The quality of the polynomial model was estimated by using the coefficient of determination (R2), model p-value, F-test, and lack of fit (LOF) testing (Sumic et al. 2016).
These four independent variables accounted for about 10% of the weight loss variance: the Pearson coefficient of correlation r, coefficient of determination R2 and p-value are shown in Table 6.
Correlations between RNA-seq and RT-qPCR data were assessed through multiple linear regression, which obtained the coefficient of determination (R) and p-value.
In some cases thresholds are individually selected for each matrix based on the determination of empirical p-values based on distributions of scores observed for a sequence pool [ 32].
The derived Monte-Carlo distributions (Supplementary Fig. S2 [see Additional file 2] and S3 [see Additional file 3]) allowed determination of the P value for the coexpression index of a given gene or the mean co-expression index of a given set of genes.
