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Nearby homology matches (distance < 40 bp), which were not likely separated by introns, were merged after a series of Perl scripts' parsing.
Adjacent homology matches were merged together using Perl scripts, combing only nearby matches (distance < 40 bp) that were not likely separated by introns.
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Matching distance of device ability.
The matching distance is about 18 m.
Obtained via matching distance fluctuations, these force constants represent strengths of mechanical coupling between CG beads.
Now, we give our composite ability matching algorithm based on the above matching distance.
Even when reducing the maximum matched distance threshold, this could not solve all the cases.
Define the matching distance d as follows: d = floor mod pred 0 Δ M, M − w, (3).
Experimental results prove that the higher matching distance is observed by distance metric rather than similarity measures.
To compute the final matching distance, the genuine and imposter classes based on the training set must be defined.
Moreover, during the process of initialization, we adopt a new distance metric — weighted matching distance metric, to calculate the distance between two objects described by categorical attributes.
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