The high quality classification was based on adequate description of randomisation or comparator group, units of randomisation (patient v hip), masking (participants, outcome assessors), and allocation concealment.
Figure 3 shows that as the minimum reliability index increases from 1 to 150, the sensitivity and PPV both increase significantly, providing a means to offer higher quality classifications for a subset of the proteome.
The Gene Ontology Consortium (GOC) provides high-quality classifications for types of transcription factors and captures the supporting evidence for the assignment of classes to gene products.
In [13], authors proposed a TrAdaBoost transfer learning framework which constructed a high-quality classification model for target domain by a small number of labeled data and auxiliary data.
Both of the two approaches can produce high-quality classification results at the species level or above without using a significant amount of computation.
High quality and low quality classification is based on abundance of caterpillars in deciduous areas, crucial food source for great tits during spring time [ 52].
But it is not as tannic as most other big reds you would often pair with these foods, and has a really smooth finish - hence "velvety". Its full name is Amarone della Valpolicella, and the region in which it is made gets Italy's highest quality wine classification, DOCG.
We believe that if one can establish a classification framework with a rich number of well-assigned functional annotation terms and high quality training data, methods in classification approach will receive more attention.
Approaches such as the framework presented in this study, to be implemented by single platform users or sophisticated cloud-computing approaches [16], can help to bridge these gaps, reduce uncertainties in historic observations and standardize the comparability of results by the application of the CLASlite modules for high quality image pre-processing and classification.
For the chemosensory genes, three programs, MC-UPGMA, TRIBE-MCL, and gSPC, reproduce the manual classification with high quality and clearly outperform other programs (Figure 1).
Approaches such as the framework presented in this study, to be implemented by single platform users or sophisticated cloud-computing approaches [ 16], can help to bridge these gaps, reduce uncertainties in historic observations and standardize the comparability of results by the application of the CLASlite modules for high quality image pre-processing and classification.
