Cargando…
Validation and selection of ODE based systems biology models: how to arrive at more reliable decisions
BACKGROUND: Most ordinary differential equation (ODE) based modeling studies in systems biology involve a hold-out validation step for model validation. In this framework a pre-determined part of the data is used as validation data and, therefore it is not used for estimating the parameters of the m...
Autores principales: | Hasdemir, Dicle, Hoefsloot, Huub C.J, Smilde, Age K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493957/ https://www.ncbi.nlm.nih.gov/pubmed/26152206 http://dx.doi.org/10.1186/s12918-015-0180-0 |
Ejemplares similares
-
How informative is your kinetic model?: using resampling methods for model invalidation
por: Hasdemir, Dicle, et al.
Publicado: (2014) -
To aggregate or not to aggregate high-dimensional classifiers
por: Xu, Cheng-Jian, et al.
Publicado: (2011) -
Topology of Transcriptional Regulatory Networks: Testing and Improving
por: Hasdemir, Dicle, et al.
Publicado: (2012) -
Crossfit analysis: a novel method to characterize the dynamics of induced plant responses
por: Jansen, Jeroen J, et al.
Publicado: (2009) -
Centering, scaling, and transformations: improving the biological information content of metabolomics data
por: van den Berg, Robert A, et al.
Publicado: (2006)