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The use of a good chemical calibration or test reaction in Isothermal Titration Calorimetry is crucial for getting reliable enthalpy values that can be compared across different laboratories.

The wellness score is not meant as a replacement for existing wellness approaches, but to supplement programs as a single consistent assessment score that can be compared across different wellness initiatives.

In light of the above issues, we can only echo recent calls to develop benchmark data sets against which to measure current and future means to annotate TEs, allowing TE annotations to be compared across different organisms (Hoen et al. 2015).

Because SWISS is a standardized value, its scores can be compared across different gene spaces.

Complementary to ANOVA, we therefore use orthogonal projections to latent structures discriminant analysis (OPLS-DA) models [22] to obtain lists of the most influential metabolites that also can be compared across different experiments.

We also normalized the level of ISH signals so that the relative strength of the ISH signals at a given location can be compared across different data sets (Fig. 4A). Figure 4B illustrates the standardization process from the ISH data of the RORbeta gene.

The cost-effectiveness of each policy is compared across different levels of leaching restriction and the number of regulated farms.

Balloon volume data at atmospheric pressure were compared across different balloon types using one-way ANOVA and the Student-Newman-Keuls test for pairwise comparisons.

Through a series of numerical experiments, the methods were compared across different time and size regimes to characterize the precision and accuracy associated with each method.

DFA is a graphical method whereby the average root mean square fluctuations across a box size are compared across different box sizes and the gradient of the line of best-fit is the estimate of the Hurst exponent (for more detailed methodology see Peng et al. [44, 49]).

It is possible that for a fixed number of genes, different genes were compared across different normalization methods since normalization may have affected gene variation across arrays.