Cargando…
A correction method for systematic error in (1)H-NMR time-course data validated through stochastic cell culture simulation
BACKGROUND: The growing ubiquity of metabolomic techniques has facilitated high frequency time-course data collection for an increasing number of applications. While the concentration trends of individual metabolites can be modeled with common curve fitting techniques, a more accurate representation...
Autores principales: | Sokolenko, Stanislav, Aucoin, Marc G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4558828/ https://www.ncbi.nlm.nih.gov/pubmed/26335002 http://dx.doi.org/10.1186/s12918-015-0197-4 |
Ejemplares similares
-
Identifying model error in metabolic flux analysis – a generalized least squares approach
por: Sokolenko, Stanislav, et al.
Publicado: (2016) -
Co-expression vs. co-infection using baculovirus expression vectors in insect cell culture: Benefits and drawbacks
por: Sokolenko, Stanislav, et al.
Publicado: (2012) -
Efficient simulation of stochastic chemical kinetics with the Stochastic
Bulirsch-Stoer extrapolation method
por: Székely, Tamás, et al.
Publicado: (2014) -
S2M: A Stochastic Simulation Model of Poliovirus Genetic State Transition
por: Ecale Zhou, Carol L.
Publicado: (2016) -
An efficient algorithm for the stochastic simulation of the hybridization of DNA to microarrays
por: Arslan, Erdem, et al.
Publicado: (2009)