Abstract
We consider the emerging problem of comparing the similarity between (unlabeled) pedigrees. More specifically, we focus on the simplest pedigrees, namely, the 2-generation pedigrees. We show that the isomorphism testing for two 2-generation pedigrees is GI-hard. If the 2-generation pedigrees are monogamous (i.e., each individual at level-1 can mate with exactly one partner) then the isomorphism testing problem can be solved in polynomial time. We then consider the problem by relaxing it into an NP-complete decomposition problem which can be formulated as the Minimum Common Integer Pair Partition (MCIPP) problem, which we show to be FPT by exploiting a property of the optimal solution. While there is still some difficulty to overcome, this lays down a solid foundation for this research.
Original language | English |
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Article number | S7 |
Journal | BMC Bioinformatics |
Volume | 16 |
Issue number | 5 |
DOIs | |
State | Published - Mar 18 2015 |
Keywords
- FPT algorithms
- Graph isomorphism
- NP-complete
- Pedigree similarity