Cargando…
Automated smoother for the numerical decoupling of dynamics models
BACKGROUND: Structure identification of dynamic models for complex biological systems is the cornerstone of their reverse engineering. Biochemical Systems Theory (BST) offers a particularly convenient solution because its parameters are kinetic-order coefficients which directly identify the topology...
Autores principales: | Vilela, Marco, Borges, Carlos CH, Vinga, Susana, Vasconcelos, Ana Tereza R, Santos, Helena, Voit, Eberhard O, Almeida, Jonas S |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2041957/ https://www.ncbi.nlm.nih.gov/pubmed/17711581 http://dx.doi.org/10.1186/1471-2105-8-305 |
Ejemplares similares
-
Parameter optimization in S-system models
por: Vilela, Marco, et al.
Publicado: (2008) -
Identification of neutral biochemical network models from time series data
por: Vilela, Marco, et al.
Publicado: (2009) -
Time series smoother for effect detection
por: You, Cheng, et al.
Publicado: (2018) -
Adaptive Lag Smoother for State Estimation
por: Poddar, Shashi, et al.
Publicado: (2022) -
FPGA based data smoother for sensor data
por: Banjac, Jelena
Publicado: (2016)