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

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

doi:10.1186/gb-2013-14-6-123

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

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

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English (US)
Article number	123
Journal	Genome biology
Volume	14
Issue number	6
DOIs	https://doi.org/10.1186/gb-2013-14-6-123
State	Published - Jun 27 2013

Keywords

Gene regulatory networks
Network interference
Plant
Systems biology

ASJC Scopus subject areas

Ecology, Evolution, Behavior and Systematics
Genetics
Cell Biology

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10.1186/gb-2013-14-6-123

Cite this

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title = "Gene regulatory networks in plants: Learning causality from time and perturbation",

abstract = "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.",

keywords = "Gene regulatory networks, Network interference, Plant, Systems biology",

author = "Gabriel Krouk and Jesse Lingeman and Colon, {Amy Marshall} and Gloria Coruzzi and Dennis Shasha",

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year = "2013",

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AU - Lingeman, Jesse

AU - Colon, Amy Marshall

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AU - Shasha, Dennis

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

Abstract

Keywords

ASJC Scopus subject areas

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