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Classifying functions were designed and implemented on the basis of information about discrete red and green color values.
For other spinning set-ups the investigation of the solution regime requires the determination of the roots of - not only one, but - two classifying functions in a high-dimensional parameter space.
In this work we will refer to q 1 and q 2 as classifying functions.
The classifying functions were also used in the real-time analysis of images obtained from conventional white-light endoscopy.
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However, while the condition and setting- specific ICF Core Sets are useful when describing and classifying functioning for patients with specific health problems or in specific care settings, a Generic ICF Core Set is needed to describe and compare across health conditions.
Gene ontology was performed to classify functions to T. pisana genes.
The unigene sequences were also aligned to the COG database to predict and classify functions.
The unigenes sequences were also aligned to the COG database to predict and classify functions.
We used Gene Ontology (GO) to classify functions of the annotated genes.
Gene Ontology assignments were used to classify functions of the predicted Sacha Inchi unigenes.
The unigene sequences were also aligned to the Clusters of Orthologous Groups (COG) database to predict and classify functions.
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