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The effect of normalisation and error model choice on the distribution of the maximum likelihood estimator for a biochemical reaction
Sparse and noisy measurements make parameter estimation for biochemical reaction networks difficult and might lead to ill‐posed optimisation problems. This is potentiated if the data has to be normalised, and only fold changes rather than absolute amounts are available. Here, the authors consider th...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931059/ https://www.ncbi.nlm.nih.gov/pubmed/36440585 http://dx.doi.org/10.1049/syb2.12055 |