Cargando…
Bridging Mechanistic and Phenomenological Models of Complex Biological Systems
The inherent complexity of biological systems gives rise to complicated mechanistic models with a large number of parameters. On the other hand, the collective behavior of these systems can often be characterized by a relatively small number of phenomenological parameters. We use the Manifold Bounda...
Autores principales: | Transtrum, Mark K., Qiu, Peng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4871498/ https://www.ncbi.nlm.nih.gov/pubmed/27187545 http://dx.doi.org/10.1371/journal.pcbi.1004915 |
Ejemplares similares
-
Optimal experiment selection for parameter estimation in biological differential equation models
por: Transtrum, Mark K, et al.
Publicado: (2012) -
Bridging the gap between mechanistic biological models and machine learning surrogates
por: Gherman, Ioana M., et al.
Publicado: (2023) -
Informing phenomenological structural bone remodelling with a mechanistic poroelastic model
por: Villette, Claire C., et al.
Publicado: (2015) -
Mechanistic modeling confronts the complexity of molecular cell biology
por: Phair, Robert D.
Publicado: (2014) -
The Spectrum of Mechanism-Oriented Models and Methods for Explanations of Biological Phenomena
por: Hunt, C. Anthony, et al.
Publicado: (2018)