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Prediction uncertainty assessment of a systems biology model requires a sample of the full probability distribution of its parameters
Multi-parameter models in systems biology are typically ‘sloppy’: some parameters or combinations of parameters may be hard to estimate from data, whereas others are not. One might expect that parameter uncertainty automatically leads to uncertain predictions, but this is not the case. We illustrate...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4081139/ https://www.ncbi.nlm.nih.gov/pubmed/25024907 http://dx.doi.org/10.7717/peerj.433 |