期刊
BIOSTATISTICS
卷 14, 期 4, 页码 792-806出版社
OXFORD UNIV PRESS
DOI: 10.1093/biostatistics/kxt020
关键词
Circadian rhythms; Non-parametric testing; Period estimation; Resampling; Spectrum
资金
- BBSRC
- EPSRC under the SABR initiative
- ROBuST [BB/F005261/1, BB/F005237/1, BB/F005318/1]
- EPSRC [EP/C544587/1]
- European Union BIOSIM Network [005137]
- Biotechnology and Biological Sciences Research Council [BB/K018078/1, BB/F005237/1, BB/F005318/1, BB/F005261/1] Funding Source: researchfish
- Engineering and Physical Sciences Research Council [EP/C544587/1] Funding Source: researchfish
- BBSRC [BB/F005261/1, BB/F005237/1, BB/F005318/1, BB/K018078/1] Funding Source: UKRI
- EPSRC [EP/C544587/1] Funding Source: UKRI
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.
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