期刊
BIOINFORMATICS
卷 24, 期 7, 页码 1018-1020出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btn065
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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 Pagels , which can then be used in the phylogenetic transformation.
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