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  • 标题:Near-Optimal Algorithm for Constructing Greedy Consensus Tree
  • 本地全文:下载
  • 作者:Hongxun Wu
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:168
  • 页码:105:1-105:14
  • DOI:10.4230/LIPIcs.ICALP.2020.105
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:In biology, phylogenetic trees are important tools for describing evolutionary relations, but various data sources may result in conflicting phylogenetic trees. To summarize these conflicting phylogenetic trees, consensus tree methods take k conflicting phylogenetic trees (each with n leaves) as input and output a single phylogenetic tree as consensus. Among the consensus tree methods, a widely used method is the greedy consensus tree. The previous fastest algorithms for constructing a greedy consensus tree have time complexity OÌf(kn^1.5) [Gawrychowski, Landau, Sung, Weimann 2018] and OÌf(k²n) [Sung 2019] respectively. In this paper, we improve the running time to OÌf(kn). Since k input trees have Î~(kn) nodes in total, our algorithm is optimal up to polylogarithmic factors.
  • 关键词:phylogenetic trees; greedy consensus trees; splay tree
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