Systematic parameter estimation in data-rich environments for cell signalling dynamics

Motivation: Computational models of biological signalling networks, based on ordinary differential equations (ODEs), have generated many insights into cellular dynamics, but the model-building process typically requires estimating rate parameters based on experimentally observed concentrations. New...

Descripción completa

Detalles Bibliográficos
Autores principales: Nim, Tri Hieu, Luo, Le, Clément, Marie-Véronique, White, Jacob K., Tucker-Kellogg, Lisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3624804/
https://www.ncbi.nlm.nih.gov/pubmed/23426255
http://dx.doi.org/10.1093/bioinformatics/btt083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3624804/
https://www.ncbi.nlm.nih.gov/pubmed/23426255
http://dx.doi.org/10.1093/bioinformatics/btt083

Ejemplares similares