Sentence examples for select a classification from inspiring English sources

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These probabilities are then utilized by DISpro to select a classification of disordered or ordered, based on a decision threshold of 0.5 [ 2].

Yet another straightforward and popular method is to select a classification that maximizes a measure of difference between the two groups, such as the p-value of a chi square statistic [ 9, 10].

Similar(58)

Therefore, selecting a classification method for scenarios plays a very important role to the scientific merit and the practical effectiveness of the optimization results.

To keep this analysis meaningful, we selected a classification based on the current information readily available to clinicians, namely personal and family history (the Amsterdam Criteria) and standard tumour analysis (MSI and/or MMR IHC).

Another important thing to keep in mind is to select a reliable classification algorithm to ensure high accuracy of the vehicle classification results and to obtain enough truck traffic samples to be used for statistical analysis.

Results from this study show that an applicator can select a coarser droplet size classification without observable loss in coverage, while greatly reducing the drift potential of the application.

This objective is formulated as a fitness function to guide the search procedure to select an appropriate fuzzy classification system so that the number of fuzzy rules and the number of incorrectly classified patterns are simultaneously minimized.

We recorded tilt pairs of videos on the 70S T. thermophilus ribosome sample and used 2D and 3D classification to select a structurally homogeneous subpopulation of 15,202 particle pairs for 3D reconstruction (see 'Materials and methods').

We selected a threshold for classification for each combination using half of the samples as a training set.

The number can be narrowed by selecting a patent category, or classification.

We overcame this constraint in two ways; we increased the number of samples by integrating independently generated microarrays that had been designed with the same biological objectives, and reduced the number of genes involved in the classification by selecting a small set of informative genes.

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