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A subset of the weighted features is thus selected as the best subset for subsequent classification of the data.
The study adopted a thematic structure analysis which involved rigorous identification of relevant codes pertaining to the content of each segment of the interviews, and the subsequent classification of the material according to emerging patterns of major topics or themes [ 22].
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Metabolic fingerprinting describes the unbiased analysis of the metabolome by investigating metabolite patterns in different experimental groups with the subsequent classification of these patterns into a fingerprint [ 27].
Essentially our classification defines surgical disorders using both specialists' and primary carers' input – specialists by defining the structure, primary carers by their description, and the subsequent classification of that description, of who they referred.
Metabolic fingerprinting describes the unbiased analysis of the metabolome by examination of metabolite patterns in different experimental groups with the subsequent classification of these patterns into a fingerprint [ 52].
These communities vary at several spatial and temporal scales giving rise to scale-dependent patterns of distribution, being of particular importance because results from the application of ecological indices, and the subsequent classification of communities, could reflect these variations at several scales.
Equally important and challenging as genome annotation, is the subsequent classification of predicted genes into their respective pathways.
A step-wise approach was used for this analysis, comprising identification of all early benefit assessments of new medicines or new indications during the first 3.5 years after the introduction of the procedure in Germany, identification of the corresponding EPARs/EPAR variations and subsequent classification of data requests in conditional appraisals/PAMs.
For prediction and subsequent classification of automatic human activity recognition (AR), the regression method of Artifical Neural Networks (ANN), Hidden Markov models [43 45] decision trees method [46], methods using Bayesian networks [47], Conditional Random Fields (CRF) or a sequential Markov Logic Network (MLN) [48] can be used.
A portion of each follicle, approximately 100 mm, was removed and fixed in 2.5% glutaraldehyde in 0.1 M phosphate buffer (pH 7.25) for subsequent classification of health or atresia, and granulosa cells were collected from the remaining follicle wall.
Subsequent classification of subsets with these general properties has defined a major population known as type 1 or invariant NKT cells (iNKT cells), that express an invariant TCRα chain (Vα14Jα18 in mouse, Vα24Jα18 in human) which is paired with TCRβ chains of limited diversity.
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