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A P-value of <0.05 was considered to represent statistically significant differences between the experimental groups.
Furthermore, differences between the experimental groups were observed.
One-way ANOVA, followed by Tukey's post hoc test, was used to test differences between the experimental groups.
They use an automated machine-learning method to reconcile differences between the experimental and computational genetic interaction maps.
There were no differences between the experimental and control groups between subgroups in the long term.
The differences between the experimental results and the thermodynamic predictions are discussed.
Differences between the experimental and calculated DH% were slight and ranged from 0.06%to0.24%4%.
Differences between the experimental data and the modeling results are discussed.
The differences between the experimental values and those estimated by using the equations never exceeded 10% of the former.
Significant differences between the experimental and the control groups were observed in the measurement of the criteria variables.
Both Kruskal-Wallis and Wilcoxon signed rank tests were applied to detect differences between the experimental groups.
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