Sentence examples for external classification system from inspiring English sources
We mapped the external classification system to GO [ 32].
Pfam signatures were mapped to GO terms to detect cases of strict functional implications of sets of predicted domains using the Pfam2GO mapping of external classification systems to GO provided by the Gene Ontology Consortium [ 75].
Surprisingly, significant discrepancies have been identified between the extracted grouping of nodes and their external classification for these systems [11, 15].
Such approaches have been shown to identify groups of nodes that more closely reproduce the external classification in real-world systems [20] than the techniques that rely on the connectivity patterns only.
To improve the generalization of the proposed classification system, the external cross-validation method was also used, resulting in 71.43% and 81.25% accuracies in distinguishing metastatic from primary tumors and gliomas from meningiomas, respectively.
In order to prove whether the recommendations are acceptable to researchers in general, it is essential that the external validity of this proposed classification system is determined in a study undertaken by different researchers on a different sample of manuscripts.
Despite demonstrating high accuracy on benchmarks, they reproduce the external classification for many real-world systems with a significant level of discrepancy.
An external validation consists on querying the classification system with an independent set of samples whose class is a priori known.
Importantly, the prognostic value of MR-proADM was similarly independent of the classification system used, increasing the external validity and generalizability of the findings of our study.
This shows that the failure in reproducing an external classification may indicate a genuinely more complicated organization within the system, in addition to the lack of data or algorithmic mistakes.
The last way to analyze the use of an external voice is endorsement, which is part of a classification system about writer stance addressed by Hu and Wang (2014).
