PCCA: A program for phylogenetic canonical correlation analysis

L.J. Revell, A.S. Harrison

    Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

    52 Citas (Scopus)

    Resumen

    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 Λ, which can then be used in the phylogenetic transformation. © The Author 2008. Published by Oxford University Press. All rights reserved.
    Idioma originalInglés estadounidense
    Páginas (desde-hasta)1018-1020
    Número de páginas3
    PublicaciónBioinformatics
    Volumen24
    N.º7
    DOI
    EstadoPublicada - abr 2008

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