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However, confidence scores for individual binding sites can be assessed by a standardized statistical analysis to allow a higher classification of strength of evidence for a subset of the data.
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The list of top 10 features clearly indicates that features with higher classification strength are a mix of sequence, structural and physicochemical derived features.
The strengths of recommendations were graded by the US Department of Veterans Affairs classification of strength of recommendations.
This will provide the foundation for the overall classification of strength of confidence in RegulonDB.
Two helpful tools to assess your strengths are the book Strengths Finder 2.0 and VIA (Values in Action) Classification of Strengths, a free online survey you can take at the website Viastrengths.org.org
Chung et al. ([2009]) conducted a hybrid E-IO (Energy top-down approach) table which has higher classification sector resolutions to determine the strength of optimization model for making clear of economic impacts from various emission-reduction strategies on energy activities in Saskatchewan, Canada.
It is also suggested that significant improvement of EN 1993 predictions can be achieved revising the classification of high-strength steel CHS sections.
In terms of classification accuracy, the semi-supervised classification algorithms TCA, LapRLS/L, SDA get a higher classification accuracy than the supervised classification algorithm MFA.
Systematically higher classification rates indicate that a region showed differential activation patterns for the four sequences, and the size of the classification accuracy served as a measure of the strength of the sequence representation in that region.
Our proposed method achieved the highest classification accuracy of 94.25%.
As a result, the highest classification accuracy of 95% was obtained by selected channels and feature.
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