About: Robinson–Foulds metric

Facets (new session)
Description
Metadata
Settings
- Rule:
- Inverse Functional Properties:
- "Same As":

About: Robinson–Foulds metric Goto Sponge NotDistinct Permalink

An Entity of Type : yago:Rule105846932, within Data Space : dbpedia.org associated with source document(s)
QRcode icon

http://dbpedia.org/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FRobinson%E2%80%93Foulds_metric

The Robinson–Foulds or symmetric difference metric, often abbreviated as the RF distance, is a simple way to calculate the distance between phylogenetic trees. It is defined as (A + B) where A is the number of partitions of data implied by the first tree but not the second tree and B is the number of partitions of data implied by the second tree but not the first tree (although some software implementations divide the RF metric by 2 and others scale the RF distance to have a maximum value of 1). The partitions are calculated for each tree by removing each branch. Thus, the number of eligible partitions for each tree is equal to the number of branches in that tree. RF distances have been criticized as biased, but they represent a relatively intuitive measure of the distances between phyloge

Attributes	Values
rdf:type	yago:WikicatBioinformaticsAlgorithms yago:Abstraction100002137 yago:Act100030358 yago:Activity100407535 yago:Algorithm105847438 yago:Event100029378 yago:Procedure101023820 yago:PsychologicalFeature100023100 yago:YagoPermanentlyLocatedEntity yago:Rule105846932
rdfs:label	Robinson–Foulds metric (en)
rdfs:comment	The Robinson–Foulds or symmetric difference metric, often abbreviated as the RF distance, is a simple way to calculate the distance between phylogenetic trees. It is defined as (A + B) where A is the number of partitions of data implied by the first tree but not the second tree and B is the number of partitions of data implied by the second tree but not the first tree (although some software implementations divide the RF metric by 2 and others scale the RF distance to have a maximum value of 1). The partitions are calculated for each tree by removing each branch. Thus, the number of eligible partitions for each tree is equal to the number of branches in that tree. RF distances have been criticized as biased, but they represent a relatively intuitive measure of the distances between phyloge (en)
dcterms:subject	Computational phylogenetics Bioinformatics algorithms
Wikipage page ID	23065279 (xsd:integer)
Wikipage revision ID	1118576904 (xsd:integer)
Link from a Wikipage to another Wikipage	Python (programming language) Quartet distance Google Scholar PHYLIP Quantitative comparative linguistics Taxa Computational phylogenetics Bioinformatics algorithms Phylogenetic trees Phylogenetic tree R (programming language) Metric (mathematics)
Link from a Wikipage to an external page	http://talgalili.github.io/dendextend/reference/dist.dendlist.html https://dendropy.org/ https://ms609.github.io/TreeDist/reference/Robinson-Foulds.html http://www.worldcat.org/title/arbres-de-steiner-et-reseaux-dont-certains-sommets-sont-a-localisation-variable/oclc/053538946 https://CRAN.R-project.org/package=TreeDist https://CRAN.R-project.org/package=phangorn http://etetoolkit.org/docs/latest/tutorial/tutorial_trees.html%23comparing-trees https://cme.h-its.org/exelixis/web/software/raxml/index.html
sameAs	Robinson–Foulds metric Robinson–Foulds metric Robinson–Foulds metric
dbp:wikiPageUsesTemplate	dbt:Cite_journal dbt:Doi dbt:Var dbt:POV_check
has abstract	The Robinson–Foulds or symmetric difference metric, often abbreviated as the RF distance, is a simple way to calculate the distance between phylogenetic trees. It is defined as (A + B) where A is the number of partitions of data implied by the first tree but not the second tree and B is the number of partitions of data implied by the second tree but not the first tree (although some software implementations divide the RF metric by 2 and others scale the RF distance to have a maximum value of 1). The partitions are calculated for each tree by removing each branch. Thus, the number of eligible partitions for each tree is equal to the number of branches in that tree. RF distances have been criticized as biased, but they represent a relatively intuitive measure of the distances between phylogenetic trees and therefore remain widely used (the original 1981 paper describing Robinson-Foulds distances was cited more than 200 times in 2019 based on Google Scholar). Nevertheless, the biases inherent to the RF distances suggest that researches should consider using "Generalized" Robinson–Foulds metrics that may have better theoretical and practical performance and avoid the biases and misleading attributes of the original metric. (en)
gold:hypernym	Way
prov:wasDerivedFrom	wikipedia-en:Robinson–Foulds_metric?oldid=1118576904&ns=0
page length (characters) of wiki page	12635 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Robinson–Foulds_metric
is Link from a Wikipage to another Wikipage of	Qualitative variation PHYLIP Foulds Metric space T-REX (web server) Robinson-Foulds metric Robinson foulds distance
is Wikipage redirect of	Robinson-Foulds metric Robinson foulds distance
is Wikipage disambiguates of	Foulds
is foaf:primaryTopic of	wikipedia-en:Robinson–Foulds_metric

Faceted Search & Find service v1.17_git139 as of Feb 29 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (61 GB total memory, 49 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software