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Given the multiple alignment, LocARNAscan gains classification strength, but does not match the excellent performance of Infernal with sequence information.
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Depending on the gained classification, analyzing algorithms can be performed again with an adapted level of detail.
The MICA-based support vector machine applies the classic support vector machine (SVM) [ 16] to the meta-samples calculated from MICA to gain classification in a low-dimensional space.
If we increase the size of training data significantly, major gains in classification rate should be achieved.
Gender-specific models provided only small gains in classification.
For the RFoT model, the net gains in classification appropriateness in recurred and non-recurred subgroups were 7.1 and 1.3%, respectively (P>0.05 for both).
Our study is valuable in that it demonstrates empirically the gains in classification performance that result from ChIP-Seq data pre-processing, thus substantiating the advocacy thereof.
The "improvements" of the 3-node, reduced model regression tree over the 2-node, reduced model regression tree (Table 3) for Vaud-Fribourg women notwithstanding, on balance any small to moderate gains in classification here (e.g., in sensitivity) were met by losses there (e.g., in specificity) for all types of model for both regions.
They also show the gain from classification tree post-processing of the predictions from lower-level forecasts.
Knowledge gained through classification of microarray gene expression data is increasingly important as they are useful for phenotype classification of diseases.
Abstract: Since telescope time is limited, astronomers wishing to classify lightcurves must carefully select future time points at which to observe lightcurves of interest in order to maximize the information that will be gained for classification.
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