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To assess the accuracy of the results produced by the taxonomic assignment method, we created data sets composed of sequences taken randomly from complete genomes.
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To benchmark the optimal assignment methods, we compared the results with FieldScreen, the 166 bit MACCS keys and DOCK.
To compare two distinct secondary structure assignment methods, we used an agreement rate C3, which is the proportion of residues associated to the same secondary structure state [63].
For each of these two types of model, we show results using the hard assignment method which we used in Section 3 (whereby the top two locations from which a user tweets are used as their home and work locations respectively) and the soft assignment method described above which incorporates uncertainty.
We define the assignment method of BfsEnumP1 as follows.
Thus, we believe our assignment method is reasonably accurate.
Finally, we use the pole assignment method to design a tracking controller that makes the acrobot exponentially track the whole trajectory.
Here we introduce a new assignment method and a dedicated webserver for PPII.
We conclude that our assignment method works well, but that the genome annotation may have a large number of chimeric scaffolds.
Assuming all the protein functions in the test set are unknown, we assign those functions based on our function assignment method; the results are shown in Table 2.
Moreover, we propose a novel capacity assignment method that provides a tradeoff between capacity requirements and quality for the voice traffic class.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com