Cargando…
GenSSI 2.0: multi-experiment structural identifiability analysis of SBML models
MOTIVATION: Mathematical modeling using ordinary differential equations is used in systems biology to improve the understanding of dynamic biological processes. The parameters of ordinary differential equation models are usually estimated from experimental data. To analyze a priori the uniqueness of...
Autores principales: | Ligon, Thomas S, Fröhlich, Fabian, Chiş, Oana T, Banga, Julio R, Balsa-Canto, Eva, Hasenauer, Jan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905618/ https://www.ncbi.nlm.nih.gov/pubmed/29206901 http://dx.doi.org/10.1093/bioinformatics/btx735 |
Ejemplares similares
-
GenSSI: a software toolbox for structural identifiability analysis of biological models
por: Chiş, Oana, et al.
Publicado: (2011) -
libAnnotationSBML: a library for exploiting SBML annotations
por: Swainston, Neil, et al.
Publicado: (2009) -
AMIGO, a toolbox for advanced model identification in systems biology using global optimization
por: Balsa-Canto, Eva, et al.
Publicado: (2011) -
SBML2HYB: a Python interface for SBML compatible hybrid modeling
por: Pinto, José, et al.
Publicado: (2023) -
SBML2L(a)T(E)X: Conversion of SBML files into human-readable reports
por: Dräger, Andreas, et al.
Publicado: (2009)