PCCA: a program for phylogenetic canonical correlation analysis

Summary: PCCA (phylogenetic canonical correlation analysis) is a new program for canonical correlation analysis of multivariate, continuously valued data from biological species. Canonical correlation analysis is a technique in which derived variables are obtained from two sets of original variables...

Full description

Autores:
Tipo de recurso:
Fecha de publicación:
2008
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/26700
Acceso en línea:
https://doi.org/10.1093/bioinformatics/btn065
https://repository.urosario.edu.co/handle/10336/26700
Palabra clave:
PCCA
Biological species
Canonical correlations
Rights
License
Abierto (Texto Completo)
id EDOCUR2_af6dd1216e06135ccb04111fc2ba0395
oai_identifier_str oai:repository.urosario.edu.co:10336/26700
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 5fe626cc-9fa8-40ff-a954-105329f7fd2d-14c8a657b-d646-417f-a355-ef1a9e45b87e-12020-08-19T14:40:04Z2020-08-19T14:40:04Z2008-02-21Summary: PCCA (phylogenetic canonical correlation analysis) is a new program for canonical correlation analysis of multivariate, continuously valued data from biological species. Canonical correlation analysis is a technique in which derived variables are obtained from two sets of original variables whereby the correlations between corresponding derived variables are maximized. It is a very useful multivariate statistical method for the calculation and analysis of correlations between character sets. The program controls for species non-independence due to phylogenetic history and computes canonical coefficients, correlations and scores; and conducts hypothesis tests on the canonical correlations. It can also compute a multivariate version of Pagel’s , which can then be used in the phylogenetic transformation.application/pdfhttps://doi.org/10.1093/bioinformatics/btn065ISSN: 1367-4803EISSN: 1460-2059https://repository.urosario.edu.co/handle/10336/26700engOxford University Press1020No. 71018BioinformaticsVol. 24Bioinformatics, ISSN: 1367-4803;EISSN: 1460-2059, Vol.24, No.7 (01 April 2008); pp. 1018–1020https://academic.oup.com/bioinformatics/article/24/7/1018/297547Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Bioinformaticsinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURPCCABiological speciesCanonical correlationsPCCA: a program for phylogenetic canonical correlation analysisPCCA: a program for phylogenetic canonical correlation analysisarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Revell, Liam J.Harrison, Alexis S.10336/26700oai:repository.urosario.edu.co:10336/267002022-05-02 07:37:21.852265https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv PCCA: a program for phylogenetic canonical correlation analysis
dc.title.alternative.spa.fl_str_mv PCCA: a program for phylogenetic canonical correlation analysis
title PCCA: a program for phylogenetic canonical correlation analysis
spellingShingle PCCA: a program for phylogenetic canonical correlation analysis
PCCA
Biological species
Canonical correlations
title_short PCCA: a program for phylogenetic canonical correlation analysis
title_full PCCA: a program for phylogenetic canonical correlation analysis
title_fullStr PCCA: a program for phylogenetic canonical correlation analysis
title_full_unstemmed PCCA: a program for phylogenetic canonical correlation analysis
title_sort PCCA: a program for phylogenetic canonical correlation analysis
dc.subject.keyword.spa.fl_str_mv PCCA
Biological species
Canonical correlations
topic PCCA
Biological species
Canonical correlations
description Summary: PCCA (phylogenetic canonical correlation analysis) is a new program for canonical correlation analysis of multivariate, continuously valued data from biological species. Canonical correlation analysis is a technique in which derived variables are obtained from two sets of original variables whereby the correlations between corresponding derived variables are maximized. It is a very useful multivariate statistical method for the calculation and analysis of correlations between character sets. The program controls for species non-independence due to phylogenetic history and computes canonical coefficients, correlations and scores; and conducts hypothesis tests on the canonical correlations. It can also compute a multivariate version of Pagel’s , which can then be used in the phylogenetic transformation.
publishDate 2008
dc.date.created.spa.fl_str_mv 2008-02-21
dc.date.accessioned.none.fl_str_mv 2020-08-19T14:40:04Z
dc.date.available.none.fl_str_mv 2020-08-19T14:40:04Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1093/bioinformatics/btn065
dc.identifier.issn.none.fl_str_mv ISSN: 1367-4803
EISSN: 1460-2059
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/26700
url https://doi.org/10.1093/bioinformatics/btn065
https://repository.urosario.edu.co/handle/10336/26700
identifier_str_mv ISSN: 1367-4803
EISSN: 1460-2059
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 1020
dc.relation.citationIssue.none.fl_str_mv No. 7
dc.relation.citationStartPage.none.fl_str_mv 1018
dc.relation.citationTitle.none.fl_str_mv Bioinformatics
dc.relation.citationVolume.none.fl_str_mv Vol. 24
dc.relation.ispartof.spa.fl_str_mv Bioinformatics, ISSN: 1367-4803;EISSN: 1460-2059, Vol.24, No.7 (01 April 2008); pp. 1018–1020
dc.relation.uri.spa.fl_str_mv https://academic.oup.com/bioinformatics/article/24/7/1018/297547
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Oxford University Press
dc.source.spa.fl_str_mv Bioinformatics
institution Universidad del Rosario
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
_version_ 1814167760109830144

Publicaciones similares