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.

Detalles Bibliográficos
Autores principales: Krouk, Gabriel, Lingeman, Jesse, Colon, Amy Marshall, Coruzzi, Gloria, Shasha, Dennis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Opinion
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3707030/
https://www.ncbi.nlm.nih.gov/pubmed/23805876
http://dx.doi.org/10.1186/gb-2013-14-6-123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3707030/
https://www.ncbi.nlm.nih.gov/pubmed/23805876
http://dx.doi.org/10.1186/gb-2013-14-6-123

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