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Different from ASG [ 5], we have an enlarged set of AS classification events.
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They can be thought of as simply a classification system, a map legend, or a data dictionary.
"When you think about the concept of families within science, it is easy to think about families as groups of things, as classification.
We use the raw counts of each of these values as classification features.
One of the crucial steps in investigating the mechanism of protein-DNA interactions is the construction of datasets as well as classification of protein-DNA complex structures.
On private datasets, classification accuracies of as high as 100% have also been reported [33, 35].
The prediction is done as classification of instances into coarse lower or higher-than-average classes.
The sum of squared errors is used as classification criteria.
With this cutoff we guarantee both an accuracy of 83% and a precision of classification as high as 80%.
All three classifiers have been previously determined as efficient in terms of classification accuracies as well as computational time [51 53].
After this correction, a robust one-way ANOVA (a robust generalization of the Welch test) [65], [66] with the type of cross as factor of classification was performed.
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