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3) We observed a negative correlation between the minimum support threshold and the minimum pattern length.
This means that if the minimum support threshold is large, the minimum pattern length should be set to relatively small.
In our algorithm, the block size, the minimum support threshold and the minimum pattern length can be changed for different sequences.
Here, we set the minimum pattern length to 8, the minimum support threshold to 2, and the block size to 200.
Assume that both the minimum support threshold and the minimum pattern length to be 2. Therefore, 〈 A〉, 〈 G〉, 〈 C〉 and 〈 T 〉 are dropped for not reaching the required length.
By default, we run our method with the minimum support threshold being 3 and the minimum pattern length being 2. Our method can capture fine-granularity information of sequences via blocking.
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In Figure 5(a), the parameter settings were defined as follows: SSR quality of 90% for perfect SSR patterns, minimum SSR length of 20 nucleotides, motif conserved ratio of 80% (i.e., at least 5 species possessing identical SSR motifs in each species cluster), and all possible SSR candidates were shown.
In this case study, the parameter settings were defined as follows: SSR quality of 90% for perfect SSR patterns, minimum SSR length of 20 nucleotides, motif conserved ratio of 80% (i.e., at least 5 species possessing identical SSR motifs in each species cluster) and showed all possible SSR candidates.
Noble and Cook studied substructures of graphs and used the Minimum Description Length technique to detect unusual patterns in a graph [6].
Three parameters are required for running Marguerite: the minimum length of the pattern, the maximum number of examples in the negative set, and the minimum number of examples in the positive set (see legend to figure 2).
Minimum length is 600 words; maximum length is 800 words.
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