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More importantly, there is the lack of a general framework for ELM to integrate multiple heterogeneous data sources for classification.
This model utilizes data from incompletely validated assays supplemented with data derived from other sources for classification of VUS for clinical purposes.
Among the 5,389 cases where both the claims algorithm and SEER data specified the occurrence of cancer-directed surgery, we observed 97% agreement between data sources for classification of partial versus radical nephrectomy (κ = 0.83, 95% CI 0.81 – 0.86) (Table 2).
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ZCURVE is a system for recognizing protein-coding genes in bacterial genome, which uses the "Z-transformation" of DNA as information source for classification [ 22].
Knowledge discovery has been demonstrated as an effective approach to extracting knowledge from existing data sources for soil classification and mapping.
These techniques rely on the probability of recombination events to distinguish the bounds of segments, and differences in allele and haplotype frequencies between source populations for classification of the ancestry of segments.
The following literature sources were used for classification: Rowe's Handbook of Pharmaceutical excipients 6th ed.
Although multi-temporal optical data would be the preferred data source for crop classification, a SAR-optical dataset (two Envisat ASAR images and one optical image) provided acceptable accuracies and will mitigate risk associated with operational implementation.
As another source of classification results for free Araki Woods factors, we compute the τ invariant of Connes for free products of von Neumann algebras.
Because the relevance of these three sources for each specific classification task is not known beforehand, the three corresponding individual classifiers were combined at a second level (step 5 in Figure 2).
More attention needs to be paid to finding an efficient and cost-effective technique for integrating these different discriminatory data sources for protein fold classification.
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