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Gene regulatory networks in plants: learning causality from time and perturbation
The goal of systems biology is to generate models for predicting how a system will react under untested conditions or in response to genetic perturbations. This paper discusses experimental and analytical approaches to deriving causal relationships in gene regulatory networks.
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3707030/ https://ncbi.nlm.nih.gov/pubmed/23805876 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gb-2013-14-6-123 |
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