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 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.

• 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
• License: Abierto (Texto Completo)