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As shown in Figure 1, low molecular mass metabolites have a good resolution and the baseline can be satisfactorily separated in 60 min. PCA and PLS-DA were used to classify metabolic phenotypes and to identify different metabolites in order to evaluate variation among complex data sets.

We used analysis of variance (ANOVA) to evaluate variation among 13 males in each measured variable.

In this study, we conducted a series of whole blood microarray experiments to evaluate variations of correlation among individuals and ages using specific pathogen-free (SPF) miniature pigs.

In this study, whole blood microarray analyses were conducted to evaluate variations of correlation among individuals and ages using specific pathogen-free (SPF) Clawn miniature pigs.

We evaluated variations in correlation coefficients among individuals of the same age and different age groups.

Among the conditions evaluated, variations in solar irradiance significantly affected the nutrient recovery rate (NRR).

We evaluated variation in selection among individual cougars by time of day, home-range location (i.e., rural vs. wilderness cougars), and using functional response curves.

To evaluate variation in expression among microsporidian gene duplicates more systematically, we analysed expression for all duplicate families identified by Nakjang et al. [ 11] containing at least two paralogues in T. hominis.

We evaluated variation in developmental time among genotypes by means of a four-way analysis of variance (ANOVA) according to the mixed model: Y = μ + L + S + G+ R (L ×S× G) + L × G + L × S + G × S + L × G × S + E, where L, G and S are the fixed cross-classified effects of line (second chromosome substitution line), genotype (Canton-S B or m) and sex, respectively.

Comparative analysis of genomic sequence data can be used to evaluate variation in functional constraint among members of the same gene family by measuring rates of gene loss and retention among different taxonomic lineages and by measuring rates of amino acid substitution in orthologous comparisons.

The aim of this study was to evaluate variation in short-term outcomes among hospitals that met the Leapfrog volume criteria.