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Inference on periodicity of circadian time series
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Costa, Maria J. (Maria João), Finkenstädt, Bärbel, Gould, Peter D., Foreman, Julia, Halliday, Karen J., Hall, Anthony, Roche, Véronique, Lévi, Francis A. and Rand, D. A. (David A.) (2013) Inference on periodicity of circadian time series. Biostatistics, Volume 14 (Number 4). pp. 792-806. doi:10.1093/biostatistics/kxt020 ISSN 1465-4644.
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Official URL: http://dx.doi.org/ 10.1093/biostatistics/kxt020
Abstract
Estimation of the period length of time-course data from cyclical biological processes, such as those driven by the circadian pacemaker, is crucial for inferring the properties of the biological clock found in many living organisms. We propose a methodology for period estimation based on spectrum resampling (SR) techniques. Simulation studies show that SR is superior and more robust to non-sinusoidal and noisy cycles than a currently used routine based on Fourier approximations. In addition, a simple fit to the oscillations using linear least squares is available, together with a non-parametric test for detecting changes in period length which allows for period estimates with different variances, as frequently encountered in practice. The proposed methods are motivated by and applied to various data examples from chronobiology.
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 > Science > Mathematics Faculty of Science, Engineering and Medicine > Science > Statistics Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre |
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Library of Congress Subject Headings (LCSH): | Circadian rhythms -- Mathematical models, Resampling (Statistics) | ||||||||
Journal or Publication Title: | Biostatistics | ||||||||
Publisher: | Oxford University Press | ||||||||
ISSN: | 1465-4644 | ||||||||
Official Date: | 6 June 2013 | ||||||||
Dates: |
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Volume: | Volume 14 | ||||||||
Number: | Number 4 | ||||||||
Page Range: | pp. 792-806 | ||||||||
DOI: | 10.1093/biostatistics/kxt020 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 22 December 2015 | ||||||||
Date of first compliant Open Access: | 22 December 2015 | ||||||||
Funder: | Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC), Engineering and Physical Sciences Research Council (EPSRC), European Union (EU) | ||||||||
Grant number: | BB/F005261/1 (BBSRC), BB/F005237/1 (BBSRC), BB/F005318/1 (BBSRC), EP/C544587/1 (EPSRC), 005137 (EU) | ||||||||
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