ADMIT: a toolbox for guaranteed model invalidation, estimation and qualitative–quantitative modeling

Summary: Often competing hypotheses for biochemical networks exist in the form of different mathematical models with unknown parameters. Considering available experimental data, it is then desired to reject model hypotheses that are inconsistent with the data, or to estimate the unknown parameters....

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Detalles Bibliográficos
Autores principales: Streif, Stefan, Savchenko, Anton, Rumschinski, Philipp, Borchers, Steffen, Findeisen, Rolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338024/
https://www.ncbi.nlm.nih.gov/pubmed/22451270
http://dx.doi.org/10.1093/bioinformatics/bts137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338024/
https://www.ncbi.nlm.nih.gov/pubmed/22451270
http://dx.doi.org/10.1093/bioinformatics/bts137

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