Downloads: 229

Files in This Item:
File Description SizeFormat 
cmb.2012.0133.pdf433.76 kBAdobe PDFView/Open
Title: A clique-based method using dynamic programming for computing edit distance between unordered trees.
Authors: Mori, Tomoya  kyouindb  KAKEN_id  orcid (unconfirmed)
Tamura, Takeyuki  kyouindb  KAKEN_id  orcid (unconfirmed)
Fukagawa, Daiji
Takasu, Atsuhiro
Tomita, Etsuji
Akutsu, Tatsuya  kyouindb  KAKEN_id  orcid (unconfirmed)
Author's alias: 阿久津, 達也
Issue Date: Oct-2012
Publisher: Mary Ann Liebert, Inc.
Journal title: Journal of computational biology
Volume: 19
Issue: 10
Start page: 1089
End page: 1104
Abstract: Abstract Many kinds of tree-structured data, such as RNA secondary structures, have become available due to the progress of techniques in the field of molecular biology. To analyze the tree-structured data, various measures for computing the similarity between them have been developed and applied. Among them, tree edit distance is one of the most widely used measures. However, the tree edit distance problem for unordered trees is NP-hard. Therefore, it is required to develop efficient algorithms for the problem. Recently, a practical method called clique-based algorithm has been proposed, but it is not fast for large trees. This article presents an improved clique-based method for the tree edit distance problem for unordered trees. The improved method is obtained by introducing a dynamic programming scheme and heuristic techniques to the previous clique-based method. To evaluate the efficiency of the improved method, we applied the method to comparison of real tree structured data such as glycan structures. For large tree-structures, the improved method is much faster than the previous method. In particular, for hard instances, the improved method achieved more than 100 times speed-up.
Rights: This is a copy of an article published in the Journal of computational biology.
©2012 Mary Ann Liebert, Inc. publishers.
"Journal of computational biology" is available online at:
This is not the published version. Please cite only the published version.
DOI(Published Version): 10.1089/cmb.2012.0133
PubMed ID: 23057820
Appears in Collections:Journal Articles

Show full item record

Export to RefWorks

Export Format: 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.