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The majority of the xenograft models was classified as basal-like and had a triple-negative receptor status.
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The features of two models were classified using two support vector machine (SVM) classifiers.
The transport models are classified by the scale modeled data.
Models are classified Not Recommended when they do not provide the proper seat belt fit.
The models are classified into fuel models and consumption sector models.
These models are classified based on the level of detail at which database transactions are modelled.
The models are classified broadly based on whether they use phenomenological, probabilistic, or empirical approaches.
The major network models are classified according to the architecture of the connections.
Effect models are classified according to the hierarchical level of concern.
Geometrical and kinematical characteristics of orthogonal and oblique cutting models are classified and specified.
Third, knowledge models are classified and stored in a hierarchical ontology system.
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