Algorithms for the Majority Rule (+) Consensus Tree and the Frequency Difference Consensus Tree

Algorithms for the Majority Rule (+) Consensus Tree and the Frequency Difference Consensus Tree
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多数规则( )共识树和频差共识树的算法

DOI:
10.1109/tcbb.2016.2609923
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发表时间:
2018
期刊:
IEEE/ACM Transactions on Computational Biology and Bioinformatics
影响因子:
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通讯作者:
and W.-K. Sung
and W.-K. Sung
中科院分区:
--
文献类型:
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作者:
J. Jansson;R. Rajaby;C. Shen;and W.-K. Sung

文献摘要

相似文献

本文提出了两个新的确定性算法构造共识树。给定k个具有相同叶子标签集和n个叶子的系统发生树的输入,第一个算法在O(kn)时间内构建多数规则(+)一致性树,这是最优的,因为输入大小为Ω(kn),第二个算法在min{O(kn 2),O(kn(k + log 2n))}时间内构建频率差一致性树。
This article presents two new deterministic algorithms for constructing consensus trees. Given an input of k phylogenetic trees with identical leaf label sets and n leaves each, the first algorithm constructs the majority rule (+) consensus tree in O(kn) time, which is optimal since the input size is Ω (kn), and the second one constructs the frequency difference consensus tree in min{O(kn2), O(kn(k + log2n))} time.