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In this paper, an approach based on the individual ability of the features to discriminate between different classes is proposed.
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Tests for expression differences between different classes were conducted for individual genes using two-sided t tests, considering P values of < 0.001 as significant, with adjustment for the batch effect.
Studies on how to produce powerful visual vocabularies to better discriminate between different classes are becoming more appealing [47, 48].
(i) Studies on how to produce powerful visual vocabularies to better discriminate between different classes are becoming more appealing [47, 48].
Comparisons of survival between different classes were performed using the log-rank test [12] as implemented in GenePattern 3.0 [13.0
Again, by just visual inspection, it can be observed that the voice data between different classes are apparently distinctive in the FM group and in the LR group.
Knowing how to increase medications and to move between the different classes is also necessary in the safe and successful management of pain.
In the method, an optimal set of orthogonal discriminant vectors, which highlight the differences between the NIR spectra of different classes, is designed by maximizing Fisher's discriminant function.
The list of codes used for feature names is given in the Additional file 7. SVMs are a class of algorithms based on statistical learning theory, which find the hyperplane that separates the data points (here: proteomes) of different classes so that the width of the margin between the points of different classes is maximized; wider margins imply lower generalization error.
On the other hand, SVMs are algorithms based on statistical learning theory, which find the hyperplane that separates the data points (here: proteomes) of different classes so that the width of the margin between the points of different classes is maximized [ 15].
Only certain crosses between the different classes are permitted.
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