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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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| Main Authors: | , , , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
BioMed Central
2013
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| נושאים: | |
| גישה מקוונת: | 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 |
| תגים: |
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