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Bioinformatics. 2008 Apr 1;24(7):1018-20. doi: 10.1093/bioinformatics/btn065. Epub 2008 Feb 21.

PCCA: a program for phylogenetic canonical correlation analysis.

Author information

  • 1Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA. lrevell@fas.harvard.edu

Abstract

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 lambda, which can then be used in the phylogenetic transformation.

AVAILABILITY:

PCCA is distributed as DOS/Windows, Mac OS X and Linux/Unix executables with a detailed program manual and is freely available on the World Wide Web at: http://anolis.oeb.harvard.edu/~liam/programs/.

PMID:
18292115
DOI:
10.1093/bioinformatics/btn065
[PubMed - indexed for MEDLINE]
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