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Function-valued traits in evolution
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Hadjipantelis, Pantelis-Zenon, Jones, Nick S., Moriarty, John M., Springate, David A. and Knight, C. G. (Christopher G.) (2013) Function-valued traits in evolution. Journal of The Royal Society Interface, Volume 10 (Number 82). Article: 20121032. doi:10.1098/rsif.2012.1032 ISSN 1742-5689.
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Official URL: http://dx.doi.org/10.1098/rsif.2012.1032
Abstract
Many biological characteristics of evolutionary interest are not scalar variables but continuous functions. Given a dataset of function-valued traits generated by evolution, we develop a practical, statistical approach to infer ancestral function-valued traits, and estimate the generative evolutionary process. We do this by combining dimension reduction and phylogenetic Gaussian process regression, a non-parametric procedure that explicitly accounts for known phylogenetic relationships. We test the performance of methods on simulated, function-valued data generated from a stochastic evolutionary model. The methods are applied assuming that only the phylogeny, and the function-valued traits of taxa at its tips are known. Our method is robust and applicable to a wide range of function-valued data, and also offers a phylogenetically aware method for estimating the autocorrelation of function-valued traits.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics Q Science > QH Natural history > QH301 Biology |
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Divisions: | Faculty of Science, Engineering and Medicine > Research Centres > Centre for Complexity Science | ||||
Library of Congress Subject Headings (LCSH): | Evolution (Biology) -- Mathematics, Ornstein-Uhlenbeck process, Bayesian statistical decision theory, Phylogeny -- Mathematics, Gaussian processes, Functional analysis, Regression analysis | ||||
Journal or Publication Title: | Journal of The Royal Society Interface | ||||
Publisher: | The Royal Society Publishing | ||||
ISSN: | 1742-5689 | ||||
Official Date: | 6 May 2013 | ||||
Dates: |
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Volume: | Volume 10 | ||||
Number: | Number 82 | ||||
Page Range: | Article: 20121032 | ||||
DOI: | 10.1098/rsif.2012.1032 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Date of first compliant deposit: | 22 June 2016 | ||||
Date of first compliant Open Access: | 22 June 2016 | ||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC), Wellcome Trust (London, England) |
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