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The added value of the RATA approach was illustrated in the sample discrimination for some food products when using the weighted attribute scores for analysis.
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Compared to balancing presentation order only between participants, this experimental factor may make the task more difficult/tedious for participants and shift their attention away from the sensory characterization task with possible detrimental effects for sample discrimination.
Besides, PLS-DA is preferred to PCA for sample discrimination because the dimension reduction provided by PLS is explicitly guided by variability among groups, whereas PCA can identify only gross variability directions and is incapable of distinguishing variability that occurs among groups and within groups (Quintás et al. 2012).
The new Flexplex assay coamplifies 23 autosomal STR loci, three Y-STR loci, and amelogenin for advanced sample discrimination.
In this way, the higher the VIP score of a particular variable (usually a threshold value of one is used) is the more importance of this variable for the sample discrimination.
Moreover, a wide range of qualitative determinations, e.g. for authenticity control, sample discrimination, the assessment of sensory, rheological or technological properties, and physical attributes have been reported.
For the validation sample discrimination by the any-stage AKI score was better than the Euroscore (AUC 0.68; 95% CI 0.67, 0.70) and Cleveland clinic (AUC 0.70; 95% CI 0.69, 0.72), and equivalent to the Mehta Score (AUC 0.74; 0.76, 0.76) and Ng score (AUC 0.73; 95% CI 0.71, 0.75) (Table 8).
Two primers are used to amplify samples and a third unique indexing primer containing the indexing barcode is used to for samples discrimination after multiplex sequencing.
To classify these samples, discrimination functions were used.
Cerebellum proved a more reliable sample for discrimination when using immunohistochemistry.
One sample t-test showed significant discrimination for the following ratios: 0.25, 0.33, 0.50, 0.67, and 0.70 (see Table 1 for descriptive statistics, t-tests, and p-values).
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