The phrase "a classification in the" is correct and usable in written English.
It can be used when discussing a specific type of categorization or grouping within a broader context.
Example: "The study provided a classification in the field of marine biology that helped researchers understand species diversity."
Alternatives: "a categorization within the" or "a grouping in the".
Gardinier played a major role in writing these proposed changes, but he said what he and his colleagues have come up with isn't really a classification in the traditional sense.
The case when DIAS does not employ adaptation strategies is referred to as the RANDOM strategy and concerns random aggregator samples without a classification in the aggregation pool.
For the first time, the situation (dim G(X)=N^2) was considered in article [30], where we found a classification in the case of Reinhardt domains in ({mathbb {C}}^N).
Next, the proof of Theorem 5.2 can be modified to exclude real hypersurface orbits and yield a classification in the case (dim G(X)=N^2-1) for (Nge 3), with (X) being non-homogeneous (see [37], [41], Theorem 4.1]): Let (Nge 3), (dim G(X)=N^2-1) and (X) be non-homogeneous.
An ortholog must be present and identified in the reference genome to make a classification in the target genome; thus, non-orthologous kinases will be overlooked.
Because in Germany, the use of drugs with the Anatomical Therapeutic Chemical (ATC) code N06BA is legally approved from the age of 6 years on, for the bivariate and multivariate analyses a classification in the age groups 0 5, 6 10, 11 13 and 14 17 years was chosen.
The Orthopaedic Trauma Association (1996) suggested a classification in which the amount of fragments determined the classification of a midshaft fracture, varying from type A for simple fractures to type C for comminuted fractures.
In Table 2 we propose a classification in significant intervals for the value of LA in terms of the ability of the system to amplify.
In machine learning, using kernels is a strategy for converting a linear classifier algorithm into a non-linear one by using a non-linear function to map the original observations into a higher-dimensional feature space; this makes a linear classification in the new feature space equivalent to a non-linear classification in the original input space.
The patterning of ancient divergences that led to present-day forms can be reconstructed by comparing homologous sequences from different organisms, thereby establishing a natural classification in the form of a Tree of Life that reflects evolutionary history [2].
A rough classification in the proposed classes thus seems not sufficient as a means to rationally design a library of promoters covering a wide range of promoter strengths.
