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The Vignette Generator can provide the required variability of the experiments with great convenience and is time-saving for the experimenter.
The inclusion of center points is usually recommended in DOE since center points give important information on the inherent variability of the experiments, hence allows the estimation of the experimental error of the model.
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This distinction is important as it requires us to not only model the technical variability of the experiment but to also model the biological variability of a particular cell type (or experimental condition).
The estimated joint distribution summarizes the variability of the three experiments and provides a theoretically rigorous summary statistic of the degradation rate (which cannot be achieved by averaging over the independent results).
However, despite this overlap, there is also considerable variability in degradation rates between the experiments, which may be natural variability or because of the experiments carried out under different conditions.
We experienced a considerable degree of variability within the experiments and hence statistic values were obtained by normalizing or transforming the data.
We determined the correlation of LCM selected epithelial cells derived from the same tissue type and variability of the triplicate LCM experiments using the microarray platform.
In addition, the variability of triplicate experiments was caused by differences in the volume of pre-cultured bacterial medium that was initially inoculated into the NMR tube.
First of all, we have repeated the entire model selection procedure by taking into account the variability of repeated experiments.
The latter thus quantifies the mean value and variability of the degradation rate across the experiments.
In addition, because of the variability of results between experiments related to experimental setup and methodology, another objective is the identification of biomarkers that are notably independent of technology platform (Corvi et al. 2006).
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