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Thus, these profiles have the desired similarity to the template profile.
The Pearson correlation coefficient between each Unigene and each template profile was used to determine cluster membership: correlation measures greater than 0.75 corresponded to a good match.
If genes were well correlated with more than one template profile, the gene was assigned to the cluster with which it had greatest correlation.
The patterns can be selected either from a database of patterns or alternatively, the user defines one template profile and the training set is created by adding random noise to this template.
Using IL17A as a template profile, we generated two time series (2nd and 3rd replicate) with a similar behavior and third one (the first replicate) which is a delayed version of the two, i.e. the timepoint 72 h corresponds to 48 h.
The fitness of the population was calculated according to Eq. 4. The template patterns were created randomly and the training set with 20 members from each of the template patterns was created by adding random Gaussian noise to the template profile.
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All load profile forecasts of all 40 households from the data set are matched with one of the five template profiles in Fig. 4. For each day's forecast, the template load profile with the lowest Euclidean distance is found.
(1) Training users and creating biometric template profiles; at this stage the user is requested to key in his/her ID and the user trains his/her password.
As a consequence, if all template profiles are far enough away from the forecast such that the original distances are all in region R +, the best match in the embedding distance will lead to no information on the best match in the original space.
Similar to SP3 and SP4, we used the Smith-Waterman local alignment algorithm [35] to optimize the score that matches the query profiles with template profiles based on Eq. (1) with the revised gaping method described above.
The coelicheline template profiles were also found in two gene clusters – deoxysugar synthase and desferioxamines.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com