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This paper presented the usage of statistics over the set of the features representing the electrocardiogram (ECG) signals.
This paper presented the usage of statistics over the set of the features representing the electroencephalogram (EEG) signals.
Thus, the new synthetic sample has a set of the features, which is {a, b, c, d, n} [ 33].
The input to the CFBC algorithm also includes a matrix representation of the known ΔΔG (described in Section 2.2) and a set of the features.
Though AMPylation and Eliminylation have complete set of the features mentioned above, database and analysis tools for Deamidation, Hydroxylation and Sulfation are still in development (Table 2).
Since the size of the power set of the features grows exponentially with the number of genetic variants screened (say n), testing all the feature subsets (2 n ) is computationally infeasible (n is on the order of a million in a typical GWA study and much larger in NGS studies).
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After selecting the optimum set of variables, the features of both data sets were concatenated and autoscaled.
Table1 lists the set of features in the feature representation F i = {f j |j = 1,2,…,30}.
Also, the set of features obtained by the feature selection process will give insights on the stego scheme and its possible weaknesses.
The normalized intensity and lifetime maps constitute the first set of features (standard FLIM features).
Table 6 presents the set of features with the best performance in the feature selection experiments by classifier.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com