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Current methods for measuring protein interactions fall into two categories: label- and label-free-based methods.
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The terms "category", "class", "label", and "class label" are used interchangeably.
For example, very few subjects may be included in a smoking-exposure category labeled "more than two packs per day"—a category that may include a subject with exposures far in excess of anyone else in the study.
In the temporal categories, labels such as obsolete, obsolescent, archaic, and old-fashioned are dangerous because some speakers have long memories and might use old words very naturally.
A k-Nearest Neighbour based hierarchical tree structure was designed for classifying hips into three OA severity categories labeled as "Normal", "Mild/Moderate", and "Severe".
Additionally, categories labelled "Incoming" and "Outgoing" are indicated as arrows on the map of Germany.
In the machine learning domain, regression is a supervised method, which outputs continuous values (instead of discrete values such as classes, categories, labels, etc).
We organized the self-assembled cubes and octahedra into four categories (labeled A through D) according to their defects.
This led to development of "main categories" labeled "environmental/cultural facilitators", "environmental/cultural barriers", and "determinants of reporting".
The response format for all items comprised six ordered categories labelled from 'disagree strongly' to 'agree strongly'.
The two main categories, labelled obstacles and facilitators, included subcategories acting as barriers or promoters to actively seeking health care.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com