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Development of a sampling‐based global sensitivity analysis workflow for multiscale computational cancer models
There are two challenges that researchers face when performing global sensitivity analysis (GSA) on multiscale ‘in silico’ cancer models. The first is increased computational intensity, since a multiscale cancer model generally takes longer to run than does a scale‐specific model. The second problem...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Institution of Engineering and Technology
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4180114/ https://ncbi.nlm.nih.gov/pubmed/25257020 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1049/iet-syb.2013.0026 |
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