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dc.contributor.authorVicente-Martinez, J-
dc.contributor.authorAlmaida Pagán, Pedro Francisco-
dc.contributor.authorMartinez-Nicolas, A-
dc.contributor.authorMadrid, Juan A-
dc.contributor.authorRol, M A-
dc.contributor.authorBonmati-Carrión, María A-
dc.contributor.otherChronobiology Laboratory, Department of Physiology, Faculty of Biology, University of Murcia, Murcia, Spaines
dc.contributor.otherCentro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable, Instituto de Salud Carlos III, Madrid, Spaines
dc.contributor.otherFacultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Fisiología-
dc.date.accessioned2024-06-17T10:37:24Z-
dc.date.available2024-06-17T10:37:24Z-
dc.date.issued2023-08-10-
dc.identifier.citationLarriba, Y. (eds). Methods at the Forefront of Biomedical Advances.es
dc.identifier.isbnElectronic: 978-3-031-32729-2-
dc.identifier.isbnPrint: 978-3-031-32728-5-
dc.identifier.urihttp://hdl.handle.net/10201/142353-
dc.description© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.-
dc.description.abstractOur biological processes do not present a static and steady picture. Instead, most of these processes oscillate throughout the 24-h day. The system that controls this circadian rhythmicity is composed of a central pacemaker and peripheral oscillators that rely on inputs and produce outputs that can be measured through appropriate techniques. The correct measurement and analysis of the func-tioning of each part of the circadian system are becoming essential in many fields of biomedicine. In this chapter, we will cover the entire process, from the acquisition of circadian data to their analyses through parametric and non-parametric methods, including the dynamic modeling of different circadian processes.es
dc.formatapplication/pdfes
dc.format.extent52es
dc.languageenges
dc.publisherYolanda Larribaes
dc.relationThis research was funded by the Ministry of Economy and Competitiveness, the Instituto de Salud Carlos III through a CIBERFES grant (CB16/10/00239); DiabfrailLatAm (European Union Horizon 2020 research and innovation program No. 825546) awarded to MAR (all co-financed by FEDER); by Grant RTI2018-093528-B-I00, funded by MCIN/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe,” by the “European Union” or by the “European Union NextGenerationEU/PRTR”; and by Grant 21610/FPI/21, Fundación Séneca, Región de Murcia (Spain) awarded to JVM.es
dc.relation.ispartofLarriba, Y. (eds) Statistical methods at the forefront of Biomedical advances. Springer, Cham, Chapter 9, pp. 185-236-
dc.rightsinfo:eu-repo/semantics/embargoedAccesses
dc.subjectCircadian rhythmses
dc.subjectChronobiology-
dc.subjectTime series-
dc.subjectCircadian monitoring systems-
dc.titleIntegral Analysis of Circadian Rhythmses
dc.typeinfo:eu-repo/semantics/bookPartes
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-031-32729-2_9es
dc.embargo.termsSI-
dc.identifier.doihttps://doi.org/10.1007/978-3-031-32729-2_9-
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