Publications [#228891] of Paul M. Magwene
search PubMed.Papers Published
- Magwene, PM, Using correlation proximity graphs to study phenotypic integration,
Evolutionary Biology, vol. 35 no. 3
(September, 2008),
pp. 191-198, Springer Nature [s11692-008-9030-y], [doi] .
(last updated on 2024/11/03)Abstract:
Characterizing and comparing the covariance or correlation structure of phenotypic traits lies at the heart of studies concerned with multivariate evolution. I describe an approach that represents the geometric structure of a correlation matrix as a type of proximity graph called a Correlation Proximity graph. Correlation Proximity graphs provide a compact representation of the geometric relationships inherent in correlation matrices, and these graphs have simple and intuitive properties. I demonstrate how this framework can be used to study patterns of phenotypic integration by employing this approach to compare phenotypic and additive genetic correlation matrices within and between species. I also outline a graph-based method for testing whether an inferred correlation proximity graph is one of a number of possible models that are consistent with a "soft" biological hypothesis. © Springer Science+Business Media, LLC 2008.