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A further issue in summarizing data is assessing reliability across both different analytical methods and different laboratories.
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Using these criteria, the accuracy in estimating kinetic parameters from experimental bifurcation data is assessed.
Plausibility and reliability of the sensorial data is assessed in a sensor data fusion unit.
Normality of data was assessed using the Kolmogorov Smirnov tests.
The quality of the RNA-Seq data was assessed using FASTQC program as described previously18,19.
The differences in all data were assessed by one-way analysis of variance.
Data were assessed at baseline (pretherapy) and at posttherapy period.
Comparisons of model predictions with available experimental data were assessed.
Two-year follow-up functional data were assessed.
Data was assessed using the Chi square test.
The data were assessed using elemental and energy balances.
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