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Clearly, a non-locally maximal pattern is not maximal.
If so, (P_{x}^{i}) is added to the maximal pattern set (mathcal{M}) (Line 10).
Subsequently, the algorithm checks whether (P_{x}^{i}) is a locally maximal pattern.
For instance, in Fig. 1, all the patterns shown are frequent homomorphic patterns and (P_4) is the only maximal pattern.
The cell is the smallest extensible component of a maximal pattern and the string can be viewed as a sequence of overlapping cells.
We can notice however than the number of FP obtained with the set LR-CE x20 on the TR with maximal pattern length of 100 bp is at most 45% lower that the one obtained with the other three sets (see Figure 5).
Similar(54)
Once all the locally maximal patterns have been found, the maximality check procedure described in Sect.
Then, in order to identify maximal patterns, we check only locally maximal patterns for maximality.
In order to define maximal patterns, we introduce a strict partial order on patterns characterizing specificity.
One way to compute the maximal patterns is to use a post-processing pruning method.
Figure 14 shows, for each of the three datasets, examples of embedded maximal patterns each from the same set in the partition and the corresponding maximal homomorphic pattern.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com