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Predicting dynamic signaling network response under unseen perturbations
Motivation: Predicting trajectories of signaling networks under complex perturbations is one of the most valuable, but challenging, tasks in systems biology. Signaling networks are involved in most of the biological pathways, and modeling their dynamics has wide applications including drug design an...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2014
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4173019/ https://ncbi.nlm.nih.gov/pubmed/24919880 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu382 |
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