Gene regulatory networks in plants: learning causality from time and perturbation

Krouk, Gabriel; Lingeman, Jesse; Colon, Amy Marshall; Coruzzi, Gloria; Shasha, Dennis

Gene regulatory networks in plants: learning causality from time and perturbation

2013

Krouk, Gabriel | Lingeman, Jesse | Colon, Amy Marshall | Coruzzi, Gloria | Shasha, Dennis

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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Palabras clave de AGROVOC

artificial intelligence gene expression regulation gene regulatory networks genes genetics methods models models plant plant plant plants prediction

Información bibliográfica

Publicado en

Genome biology

Volumen 14 Edición 6 Paginación 123 - 123 ISSN 1474-760X

Editorial

BioMed Central

Otras materias

Regulator genes; Statistics numerical data; Genetic; Genome; Signal transduction; Systems biology

Idioma

Inglés

Licencia

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Tipo

Journal Article; Text

En AGRIS desde: 2024-02-28

Formato: MODS

Proveedor de Datos

Este registro bibliográfico ha sido proporcionado por National Agricultural Library

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Enlaces

DOI DOI http://dx.doi.org/10.1186/gb-2013-14-6-123

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