The phrase "a partial classification" is correct and usable in written English.
It can be used when referring to a classification system that is incomplete or only covers some aspects of a subject.
Example: "The study provided a partial classification of the species, highlighting only the most common varieties found in the region."
Alternatives: "an incomplete classification" or "a limited classification".
This has applications to a partial classification of Stein manifolds up to deformation.
It also gives a partial classification of contact structures by extending the notion of overtwistedness to high dimensions.
We give a full classification of the isolated singularities of the nonnegative solutions of (E), a partial classification of isolated singularities of the negative solutions.
A full classification exactly matches a category in KinBase, whereas a partial classification matches at the group level, or at the group and family levels in cases where that family is further divided into subfamilies.
Finally, if Kinannote and the reference agree that the sequence is an unclassified kinase, or is not a kinase, the partial classification is true negative.
At the same time, the hybrid approach as noted above would almost certainly come under legal challenge from ISPs who will chafe under even partial classification as a common carrier.
If Kinannote provides no classification for a classified reference kinase, the partial classification result is FN.
As a consequence, positions of the scatterer resonances are determined in the complex plane of the reduced frequency and a partial algebraic classification of the resonances is obtained for various boundary conditions (soft cylinders, hard cylinders and elastic cylinders immersed in water).
Kinannote takes a conservative approach to reflect uncertainty in classification, withholding full, and sometimes partial classification when the top BLAST hits against the reference database are inconsistent, or the BLAST E-value of the best hit is above threshold (Table 1).
If Kinannote incorrectly assigns the subfamily, we define this as FP even if the group and family match the reference because misclassification negates correct partial classification in terms of the value of the annotation to a user.
The partial classification efficiencies of T-2.5 are higher than that of T-0.
