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A Bayesian active learning strategy for sequential experimental design in systems biology
BACKGROUND: Dynamical models used in systems biology involve unknown kinetic parameters. Setting these parameters is a bottleneck in many modeling projects. This motivates the estimation of these parameters from empirical data. However, this estimation problem has its own difficulties, the most impo...
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| Main Authors: | , , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
BioMed Central
2014
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4181721/ https://ncbi.nlm.nih.gov/pubmed/25256134 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-014-0102-6 |
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