Sentence examples for variability of the experiment from inspiring English sources

Exact(1)

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).

Similar(59)

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.

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).

In PCA the dimensionality of the dataset is reduced by replacing the original variables by a smaller number of newly formed variables that are linear combinations of the original variables and that explain the majority of the information (variability) from the experiment.

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.

However, even a reference gene expressing some variability over the course of the experiment may be sufficient to detect target gene expression variations as long as these are larger than for the reference gene.

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.

The latter thus quantifies the mean value and variability of the degradation rate across the experiments.

The P-limited treatment experienced higher variability, and at the end of the experiment, infection led to a dramatic decline to less than half of the biomass of the uninfected populations (one-sample t-tests, for days 4-28 p >0.05, for day 32 Bonferroni-corrected p = 0.002).

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