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We observed a variation of 1°C for the unmethylated blood DNA peak and 1.5°C for the in vitro methylated DNA peak (negative and positive controls, respectively) as a normal variation between different experiments (data obtained from the comparison among 20 30 experiments for each gene, data not shown).
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To support the observations obtained through the core scale experiments, visual data obtained from 2-D sand pack models were used.
Gamma camera experiments confirmed data obtained from organ biodistribution studies.
As we have discussed, only the relative values of |ω ij | are relevant, because of the way the ω ij parameters interact with one another and the other model parameters of the model Eqs. 1 and 2. To test this hypothesis, we have conducted a number of experiments on data obtained from artificial and real GRN systems.
This setup was used in duplicate for each experiment, and the data obtained from each set of cages were combined.
The results of numerical experiments on the simulated data obtained from the Boeing company and on some benchmark examples are presented to show the accuracy of the method.
Data driven modeling decisively depends on informative input and output data obtained from experiments.
This experiment was designed based on the data obtained from previous experiment, to characterize the early events occurring during the first days after grafting and administration of S1P.
In this experiment, we process the data obtained from the entire deep section.
Animal experiments are needed to confirm the data obtained from these cellular level experiments.
Thermal performances belonging to experimental systems are calculated by using data obtained from experiments.
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