Sentence examples for metric to classify from inspiring English sources

CCC is another metric to classify the distributed DSA protocols.

To determine whether the reporter genes were robust across populations, we applied this metric to classify a separate blind dataset of mRNA relative quantities from a new population of CFS patients and healthy persons with limited success.

Distances from each IPAC to its 5' sense gene, 3' sense gene, 5' antisense gene and 3' antisense gene were considered as the main metric to classify IPACs.

To optimise the elements in the feature vectors, they used incremental feature selection (IFS) with nearest neighbor (NN) (using 1-cosine distance as the metric) to classify proteins based on increasing feature vector sizes.

The proposed learner has successfully learned to devise a way by means of metric calculations to classify bit strings of any length according to their triple parity.

To remedy a single long distance peak-to-peak match, we identify outliers and exclude their matches in the metric used to classify match quality.

This is the usual metric used to classify individuals as "high-" or "low-risk" by the MDR method[29], and MDR software[30] was used to generate the counts of cases and controls with each combination of susceptibility factors in the training dataset.

Using mRNA relative quantities for 44 previously identified reporter genes taken from a large dataset comprising both CFS patients and healthy volunteers, we derived a gene profile scoring metric to accurately classify CFS and healthy samples.

Specificity is the ability of the metric to correctly classify as unexposed those who are unexposed.

Sensitivity is the ability of an exposure metric to correctly classify as exposed those who are truly exposed.

In this new coordinate space a metric is built to classify how close or far are different web graphs.