Evidence map›Paper›PMID 32067071›Full record

ArticleJournal of mathematical biology2020

A partial order and cluster-similarity metric on rooted phylogenetic trees.

Michael Hendriksen, Andrew Francis

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Article in Journal of mathematical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Michael HendriksenCentre for Research in Mathematics and Data Science, Western Sydney University, Sydney, NSW, Australia.
Andrew FrancisCentre for Research in Mathematics and Data Science, Western Sydney University, Sydney, NSW, Australia. a.francis@westernsydney.edu.au.ORCID 0000-0002-9938-3499

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metrics on rooted phylogenetic trees are integral to a number of areas of phylogenetic analysis. Cluster-similarity metrics have recently been introduced in order to limit skew in the distribution of distances, and to ensure that trees in the neighbourhood of each other have similar hierarchies. In the present paper we introduce a new cluster-similarity metric on rooted phylogenetic tree space that has an associated local operation, allowing for easy calculation of neighbourhoods, a trait that is desirable for MCMC calculations. The metric is defined by the distance on the Hasse diagram induced by a partial order on the set of rooted phylogenetic trees, itself based on the notion of a hierarchy-preserving map between trees. The partial order we introduce is a refinement of the well-known refinement order on hierarchies. Both the partial order and the hierarchy-preserving maps may also be of independent interest.

Indexed as

AlgorithmsModels, GeneticPhylogenyCluster AnalysisComputational BiologyComputer SimulationMarkov ChainsMathematical ConceptsMonte Carlo MethodAlgorithmHierarchyMetricPartial orderPhylogenetic tree

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.