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EDoP Distance Between Sets of Incomplete Permutations: Application to Bacteria Classification Based on Gene Order
Xinrui Zhou1, Amihood Amir2, Concettina Guerra1
11 School of Interactive Computing, College of Computing , Georgia Tech TSRB, Atlanta, Georgia .
Abstract:
In this work, we extend measures of distance between permutations to support incomplete permutations. Modeling and comparing incomplete permutations are a challenging computational problem of practical importance in many applications in bioinformatics and social science. We show that the proposed distance measure admits a closed-form expression and can be efficiently computed on sets of permutations involving several missing elements. We demonstrate the proposed method on the classification of bacteria from different phyla based on gene order.
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