Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Gemma Massonis"'
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 10, p e1011014 (2023)
Mechanistic dynamical models allow us to study the behavior of complex biological systems. They can provide an objective and quantitative understanding that would be difficult to achieve through other means. However, the systematic development of the
Externí odkaz:
https://doaj.org/article/1225c4bb0dd74c2c8a4a56f9d90b87f3
Autor:
Alejandro F Villaverde, Gemma Massonis
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 10, p e1009032 (2021)
A recent paper published in PLOS Computational Biology [1] introduces the Scaling Invariance Method (SIM) for analysing structural local identifiability and observability. These two properties define mathematically the possibility of determining the
Externí odkaz:
https://doaj.org/article/615a131b1a2e41b9ba1c4287bbcca6f9
Publikováno v:
Symmetry, Vol 12, Iss 3, p 469 (2020)
A dynamic model is structurally identifiable (respectively, observable) if it is theoretically possible to infer its unknown parameters (respectively, states) by observing its output over time. The two properties, structural identifiability and obser
Externí odkaz:
https://doaj.org/article/075a9a9a0e6046eeaf2ec97de76d74e5
Publikováno v:
International Journal of Robust and Nonlinear Control. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b497dd6936ffb193b7f349eb0138e22
https://doi.org/10.1002/rnc.6758
https://doi.org/10.1002/rnc.6758
19 pages, 6 figures.-- This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License
Mechanistic dynamic models of biological systems allow for a quantitative and systematic interpretation of d
Mechanistic dynamic models of biological systems allow for a quantitative and systematic interpretation of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4907cf9a2a36753ae852a374b70fa16f
http://hdl.handle.net/10261/308889
http://hdl.handle.net/10261/308889
Publikováno v:
Bioinformatics. 39
Motivation Dynamic mechanistic modelling in systems biology has been hampered by the complexity and variability associated with the underlying interactions, and by uncertain and sparse experimental measurements. Ensemble modelling, a concept initiall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::190fa9df5c0cbfb4370d555df5ab3b6d
https://doi.org/10.1093/bioinformatics/btac755
https://doi.org/10.1093/bioinformatics/btac755
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
Universidad Pontificia Comillas ICAI-ICADE
instname
Annual Reviews in Control
Universidad Pontificia Comillas ICAI-ICADE
instname
Annual Reviews in Control
The recent coronavirus disease (COVID-19) outbreak has dramatically increased the public awareness and appreciation of the utility of dynamic models. At the same time, the dissemination of contradictory model predictions has highlighted their limitat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1cc4bcb4f326793bc93a3248d77a4e3
http://hdl.handle.net/10261/217239
http://hdl.handle.net/10261/217239