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 journalArticle

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 languageEnglish (US)
Pages (from-to)123
Number of pages1
JournalGenome Biology
DOIs
StateAccepted/In press - Jun 27 2013

Fingerprint

Systems Biology
Gene Regulatory Networks
Causality
learning
perturbation
Learning
Biological Sciences
gene
gene regulatory networks

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Cell Biology
  • Genetics
  • Medicine(all)

Cite this

Gene regulatory networks in plants : Learning causality from time and perturbation. / Krouk, Gabriel; Lingeman, Jesse; Marshall Colon, Amy; Coruzzi, Gloria; Shasha, Dennis.

In: Genome Biology, 27.06.2013, p. 123.

Research output: Contribution to journalArticle

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