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Criteria for this classification were based on the fact that primary Gleason grade is the most important indicator to predict outcome of the disease.
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This classification is based on the essence used for determining the order of packet serving.
This classification is based on a set of 19 characteristics identified for each word.
This classification was based on published studies [11], [28], [29].
This classification is based on biologic principles.
The algorithm used in this paper for classification is based on the eigenfaces algorithm.
Another common technique for genome classification is based on codon usage frequencies [ 43].
The second approach for repeat classification is based on the distance between adjacent units.
For the CPU, the classification is based on upper frequency thresholds.
For the GDM women, classification was based on values of OGTT.
The classification is based on several indicators, one being economic.
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