The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Cosinor-based rhythmometry
Open accessAbstract
A brief overview is provided of cosinor-based techniques for the analysis of time series in chronobiology. Conceived as a regression problem, the method is applicable to non-equidistant data, a major advantage. Another dividend is the feasibility of deriving confidence intervals for parameters of rhythmic components of known periods, readily drawn from the least squares procedure, stressing the importance of prior (external) information. Originally developed for the analysis of short and sparse data series, the extended cosinor has been further developed for the analysis of long time series, focusing both on rhythm detection and parameter estimation. Attention is given to the assumptions underlying the use of the cosinor and ways to determine whether they are satisfied. In particular, ways of dealing with non-stationary data are presented. Examples illustrate the use of the different cosinor-based methods, extending their application from the study of circadian rhythms to the mapping of broad time structures (chronomes).
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Cites
An Algorithm for Least-Squares Estimation of Nonlinear Parameters
Marquardt, D. W. (1963) · Journal of the Society for Industrial and Applied Mathematics · doi:10.1137/0111030 · Cited by 30,728
An analysis of variance test for normality (complete samples)
SHAPIRO, S. S., & WILK, M. B. (1965) · Biometrika · doi:10.1093/biomet/52.3-4.591 · Cited by 23,480
The wavelet transform, time-frequency localization and signal analysis
Daubechies, I. (1990) · IEEE Transactions on Information Theory · doi:10.1109/18.57199 · Cited by 6,483
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Martínez-García, M., & Hernández-Lemus, E. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2021.784455 · Cited by 185
Rykov, Y., Thach, T.-Q., Bojic, I., Christopoulos, G., & Car, J. (2021) · JMIR mHealth and uHealth · doi:10.2196/24872 · Cited by 151
Kervezee, L., Cuesta, M., Cermakian, N., & Boivin, D. B. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1720719115 · Cited by 136
Origins of human disease: the chrono-epigenetic perspective
Oh, E. S., & Petronis, A. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00348-6 · Cited by 108
Bishehsari, F., Engen, P. A., Voigt, R. M., Swanson, G., Shaikh, M., Wilber, S., Naqib, A., Green, S. J., Shetuni, B., Forsyth, C. B., et al. (2020) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2019.10.011 · Cited by 76
“For Per2::luc analysis, given the established rhythmicity of Per2 in the mouse tissue of approximate 24-hour periodicity,(73) a single cosinor method was used to analyze the data over time as described.(74) The equation for the cosinor fit is as follows: Y(t) 1⁄4 M þ Acos(2pt/s þ f), where M is the mesor (midline stat…”
Method
Metadata
- Authors
- Cornelissen, G.
- Venue
- Theoretical Biology and Medical Modelling
- Published
- 2014-04-11
- Volume
- 11
- Issue
- 1
- Pages
- 16-16
- ISSN
- 1742-4682 (ISSN-L)
- OpenAlex
- W2098342740
- Cited by
- 811
- References
- 3
- FWCI
- 9.19
- Type
- journal article
- Language
- en
- Open access
- hybrid
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