Sentence examples for more informative comparisons from inspiring English sources
Enrichment Map can be used for more informative comparisons, identifying which functional groups differ between experiments.
Future studies are needed to uncover reasons for regional variations, and should include age-adjustments for more informative comparisons across ethnic groups.
Future studies are needed to uncover reasons for regional variations and should use age-adjustment for more informative comparisons across ethnic groups.
For more informative comparisons of the performance in different determinants, we plotted sensitivity-timeliness curve [ 33], which measured the proportion of outbreaks that an algorithm detected within several days from the start of the outbreak.
Therefore, a more informative comparison is to evaluate learning gains from contrasting activities.
The future study should include Bland Altman plot and a measurement error model to provide a more informative comparison by determining the relative biases (i.e., systematic error, including differences in measurement scale, or scale bias) and imprecision (i.e., random error, adjusted for scale bias).
An alternative approach utilising tabulation of observed and expected events by Ps intervals of 0.1 provided a more informative comparison (Table 6).
Adjusting for differences in age structure and calculating expected mortality for a world-standard age structure give a more informative comparison (28).
The nematode taxa having ESTs were divided into animal- and human-parasitic nematodes (AHPNs), plant-parasitic nematodes (PPNs), and free-living nematodes (FLNs) to enable a more informative comparison using tBLASTx algorithm with an E value cutoff of 1e-5.
We reasoned that a more informative comparison might be obtained using comparable learning paradigms (Scherer et al., 2003; Gerber et al., 2004a; Guo and Guo, 2005; Hori et al., 2006; Mota et al., 2011).
Furthermore, it enables more informative comparison with experimental data: The population-level label distribution is provided as a model output, thereby increasing the information content compared to existing models that give the fraction of labeled cells or the mean label intensity.
