Integral Analysis of Circadian Rhythms

Vicente-Martinez, J; Almaida Pagán, Pedro Francisco; Martinez-Nicolas, A; Madrid, Juan A; Rol, M A; Bonmatí Carrión, María de los Ángeles

Publication:
Integral Analysis of Circadian Rhythms

dc.contributor.author	Vicente-Martinez, J
dc.contributor.author	Almaida Pagán, Pedro Francisco
dc.contributor.author	Martinez-Nicolas, A
dc.contributor.author	Madrid, Juan A
dc.contributor.author	Rol, M A
dc.contributor.author	Bonmatí Carrión, María de los Ángeles
dc.contributor.department	Fisiología
dc.contributor.department	Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable, Instituto de Salud Carlos III, Madrid, Spain
dc.date.accessioned	2024-06-17T10:37:24Z
dc.date.available	2024-06-17T10:37:24Z
dc.date.issued	2023-08-10
dc.description	© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
dc.description.abstract	Our 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.embargo.terms	1-ene-2999
dc.format	application/pdf	es
dc.format.extent	52	es
dc.identifier.citation	Larriba, Y. (eds). Methods at the Forefront of Biomedical Advances.
dc.identifier.doi	https://doi.org/10.1007/978-3-031-32729-2_9
dc.identifier.isbn	Electronic: 978-3-031-32729-2
dc.identifier.isbn	Print: 978-3-031-32728-5
dc.identifier.uri	http://hdl.handle.net/10201/142353
dc.language	eng	es
dc.publisher	Yolanda Larriba	es
dc.relation	This 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.ispartof	Larriba, Y. (eds) Statistical methods at the forefront of Biomedical advances. Springer, Cham, Chapter 9, pp. 185-236
dc.relation.publisherversion	https://link.springer.com/chapter/10.1007/978-3-031-32729-2_9	es
dc.rights	info:eu-repo/semantics/embargoedAccess	es
dc.subject	Circadian rhythms	es
dc.subject	Chronobiology
dc.subject	Time series
dc.subject	Circadian monitoring systems
dc.title	Integral Analysis of Circadian Rhythms	es
dc.type	info:eu-repo/semantics/bookPart	es
dspace.entity.type	Publication	es
relation.isAuthorOfPublication	92b5ee66-dc41-459a-8f32-5414d2e4d43d
relation.isAuthorOfPublication.latestForDiscovery	92b5ee66-dc41-459a-8f32-5414d2e4d43d