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Benchmarks for identification of ordinary differential equations from time series data
Motivation: In recent years, the biological literature has seen a significant increase of reported methods for identifying both structure and parameters of ordinary differential equations (ODEs) from time series data. A natural way to evaluate the performance of such methods is to try them on a suff...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2654804/ https://www.ncbi.nlm.nih.gov/pubmed/19176548 http://dx.doi.org/10.1093/bioinformatics/btp050 |