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Fitting Boolean Networks from Steady State Perturbation Data
Gene perturbation experiments are commonly used for the reconstruction of gene regulatory networks. Typical experimental methodology imposes persistent changes on the network. The resulting data must therefore be interpreted as a steady state from an altered gene regulatory network, rather than a di...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Berkeley Electronic Press
2011
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3215431/ https://ncbi.nlm.nih.gov/pubmed/23089817 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2202/1544-6115.1727 |
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