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Thus we used both a different annotation pipeline and a different confidence classification system.
According to the confidence classification rules described in (32), these interactions can be classified into high-confidence, medium-confidence and low-confidence.
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Possible reasons for this are: i) the much shorter V6 lengths; ii) that its hyper-variable and poorly conserved sequence impedes high-confidence classifications; and/or iii) that it is flanked on both sides with highly conserved sequences which add little classification information.
Thus, the confidence of classification will be improved.
Different applicability domain (AD) approaches were used to estimate the confidence of classification.
The result of McNemar's test indicates the using of MSEPF-MMSF improves confidence of classification than SSEPF-MMSF.
The model was designed to output gene probabilities that could be screened for higher probabilities resulting in higher confidence in classification though yielding fewer genes per pathway.
One tradeoff in fixed window segmentation schemes is the window size, which basically trades confidence in classification accuracy for temporal accuracy of the segment boundaries and noise in the segmentation.
Higher the absolute value of the SVR score better is the confidence of classification.
Hence, if we specified a large enough α threshold, the confidence of classification rules would have been sufficiently high.
One of the most widely accepted tests for the degree of confidence in classification of taxa into subtrees (monophyletic groups) on a given tree is the determination of the bootstrap support value [ 22].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com