PCCA: a program for phylogenetic canonical correlation analysis

@article{citeulike:2600060, abstract = {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 {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/. Contact: lrevell@fas.harvard.edu 10.1093/bioinformatics/btn065}, author = {Revell, Liam J. and Harrison, Alexis S. }, citeulike-article-id = {2600060}, doi = {10.1093/bioinformatics/btn065}, journal = {Bioinformatics}, keywords = {canonical\_correlation\_analysis}, month = {April}, number = {7}, pages = {1018--1020}, posted-at = {2008-05-09 04:05:07}, priority = {2}, title = {PCCA: a program for phylogenetic canonical correlation analysis}, url = {http://dx.doi.org/10.1093/bioinformatics/btn065}, volume = {24}, year = {2008} }

TY - JOUR ID - citeulike:2600060 L3 - citeulike-article-id:2600060 TI - PCCA: a program for phylogenetic canonical correlation analysis JF - Bioinformatics VL - 24 IS - 7 SP - 1018 EP - 1020 N2 - 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 {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/. Contact: lrevell@fas.harvard.edu 10.1093/bioinformatics/btn065 KW - canonical_correlation_analysis AU - Revell, Liam AU - Harrison, Alexis PY - 2008/04/01/ UR - http://dx.doi.org/10.1093/bioinformatics/btn065 ER -