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Relative quantification of these genes expressions was calculated with the 2-ΔΔCt method.
Statistical difference of mRNA expressions was calculated using ANOVA with Dunnett test for all pairwise comparisons that correct for experiment-wise error rate.
The statistical significance of the gene expressions was calculated using a Welch's t-test for all pairwise sample comparisons against the ALHF strain at a value of α = 0.05 [ 52].
In each training set, the optimal cutoff for dichotomizing frequency scores into 'low' and 'high' expressions was calculated using receiver operating characteristic curve analysis for survival data with 3-year OS as the outcome of interest (Heagerty and Zheng, 2005; Zlobec et al, 2007).
The statistical significance of the gene expressions was calculated using a Student's t-test for all 2-sample comparisons and a one-way analysis of variance (ANOVA) for multiple sample comparisons (SAS v9.1 software); a value of P ≤ 0.05 was considered statistically significant.
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Corresponding to user's nature, optimal power expressions are calculated.
Relative expressions were calculated by the formula 2−∆∆Ct.
Relative expressions were calculated using the method published by Pfaffl, M [25].
Relative expressions were calculated by method.
Relative expressions were calculated using the ΔΔ Ct method.
Relative gene expressions were calculated by the 2−ΔΔ Ct method.
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