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Data-driven modelling approach to circadian temperature rhythm profiles in free-living conditions
The individual variation in the circadian rhythms at the physiological level is not well understood. Albeit self-reported circadian preference profiles have been consolidated, their premises are grounded on human experience, not on physiology. We used data-driven, unsupervised time series modelling...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8298484/ https://ncbi.nlm.nih.gov/pubmed/34294824 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-94522-9 |
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