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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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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3338024/ https://ncbi.nlm.nih.gov/pubmed/22451270 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts137 |
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