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A rearrangement distance for fully-labelled trees

Bernardini, G
•
Bonizzoni, P
•
Della Vedova, G
•
Patterson, M
2019
  • conference object

Abstract
The problem of comparing trees representing the evolutionary histories of cancerous tumors has turned out to be crucial, since there is a variety of different methods which typically infer multiple possible trees. A departure from the widely studied setting of classical phylogenetics, where trees are leaf-labelled, tumoral trees are fully labelled, i.e., every vertex has a label. In this paper we provide a rearrangement distance measure between two fully-labelled trees. This notion originates from two operations: one which modifies the topology of the tree, the other which permutes the labels of the vertices, hence leaving the topology unaffected. While we show that the distance between two trees in terms of each such operation alone can be decided in polynomial time, the more general notion of distance when both operations are allowed is NP-hard to decide. Despite this result, we show that it is fixed-parameter tractable, and we give a 4-approximation algorithm when one of the trees is binary.
DOI
10.4230/LIPIcs.CPM.2019.28
Archivio
http://hdl.handle.net/11368/3019704
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85068068034
https://drops.dagstuhl.de/opus/volltexte/2019/10499/
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by/4.0/
FVG url
https://arts.units.it/bitstream/11368/3019704/3/LIPIcs-CPM-2019-28 (1).pdf
Soggetti
  • Tree rearrangement di...

  • Cancer progression

  • Approximation algorit...

  • Computational complex...

  • Approximation algorit...

  • Cancer progression

  • Computational complex...

  • Tree rearrangement di...

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