Publication: Editorial: Mathematical and computational methods in physiology.
dc.contributor.author | Femia, Pedro | |
dc.contributor.author | Melchor, Juan | |
dc.contributor.author | Carmona-Saez, Pedro | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | |
dc.contributor.funder | FEDER/Junta de Andalucía-Consejería de Transformación Econímica, Industria, Conocimiento y Universidades | |
dc.contributor.funder | European Regional Development Fund (ERDF) | |
dc.date.accessioned | 2023-05-03T13:44:54Z | |
dc.date.available | 2023-05-03T13:44:54Z | |
dc.date.issued | 2022-07-07 | |
dc.description.abstract | Physiology constitutes a broad discipline that covers the study of the different hierarchical levels of living organisms, from the cellular one to higher levels, such as tissues or organs. The articles of this monography provide an excellent example of the telescopic capacity of this discipline. A common nexus among all these levels is that physiological systems are epistemologically complex. This implies that their study requires a necessary reduction of the complexity in order to elaborate a formal and manageable description of the system, giving rise to a model. Therefore, we need to develop mathematical models that represent the original system instead of studying it. Nevertheless, even this representation can present an unmanageable degree of complexity. Typically, the description of the physiological processes relies on non-linear relationships among a high number of variables that involve many parameters of unknown value. | |
dc.description.sponsorship | PS acknowledges funding from Ministerio de Ciencia e Innovación (grant PID 2020-119032RB-I00) and FEDER/Junta de Andalucía-Consejería de Transformación Econímica, Industria, Conocimiento y Universidades (grants P20-00335 and B-CTS-40- UGR20), JM acknowledges funding from Ministerio de Ciencia e Innovación (grant PID 2019-106947RA-C22) and PRE 2018-086085 (Co-funded by European Social Fund “Investing in your future”); Consejería de economía, conocimiento, empresas y universidad and European Regional Development Fund (ERDF) SOMM17/6109/ UGR and P18-RT-1653. | |
dc.description.version | Si | |
dc.identifier.citation | Femia P, Melchor J, Carmona-Saez P. Editorial: Mathematical and computational methods in physiology. Front Physiol. 2022 Aug 8;13:975075. | |
dc.identifier.doi | 10.3389/fphys.2022.975075 | |
dc.identifier.issn | 1664-042X | |
dc.identifier.pmc | PMC9393705 | |
dc.identifier.pmid | 36003655 | |
dc.identifier.pubmedURL | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393705/pdf | |
dc.identifier.unpaywallURL | https://www.frontiersin.org/articles/10.3389/fphys.2022.975075/pdf | |
dc.identifier.uri | http://hdl.handle.net/10668/20717 | |
dc.journal.title | Frontiers in physiology | |
dc.journal.titleabbreviation | Front Physiol | |
dc.language.iso | en | |
dc.organization | Centro Pfizer-Universidad de Granada-Junta de Andalucía de Genómica e Investigación Oncológica-GENYO | |
dc.organization | Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA) | |
dc.page.number | 2 | |
dc.publisher | Frontiers Research Foundation | |
dc.pubmedtype | Editorial | |
dc.relation.projectID | PID 2020-119032RB-I00 | |
dc.relation.projectID | P20-00335 | |
dc.relation.projectID | B-CTS-40- UGR20 | |
dc.relation.projectID | PID 2019-106947RA-C22 | |
dc.relation.projectID | PRE 2018-086085 | |
dc.relation.projectID | SOMM17/6109/ UGR | |
dc.relation.projectID | P18-RT-1653 | |
dc.relation.publisherversion | https://doi.org/10.3389/fphys.2022.975075 | |
dc.rights | Attribution 4.0 International | |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | biostatistical methods | |
dc.subject | computational methods | |
dc.subject | machine learning | |
dc.subject | mathematical physiology | |
dc.subject | modelling | |
dc.subject | omics integration | |
dc.subject.decs | Aprendizaje automático | |
dc.subject.decs | Fisiología | |
dc.subject.decs | Métodos | |
dc.title | Editorial: Mathematical and computational methods in physiology. | |
dc.type | research article | |
dc.type.hasVersion | VoR | |
dc.volume.number | 13 | |
dspace.entity.type | Publication |
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