Computational models reconstruct gene regulatory networks

Anastasios Bezerianos, Ioannis A. Maraziotis

Research output: Contribution to journalArticle

Abstract

The post-genomic era is flooded with data from high-throughput techniques such as cDNA microarrays. In the field of systems biology the reconstruction of gene regulatory networks from gene expression data is one of the major problems in understanding complex cell functions. Drawing conclusions from microarray data requires sophisticated computational analyses that will explore causal genetic relations. In this paper we provide a brief summary of some of the most recent and promising computational models and mathematical frameworks used to reconstruct, model and infer gene regulatory networks from data.

Original languageEnglish (US)
Pages (from-to)993-1000
Number of pages8
JournalMolecular BioSystems
Volume4
Issue number10
DOIs
StatePublished - 2008
Externally publishedYes

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Gene Regulatory Networks
Systems Biology
Regulator Genes
Oligonucleotide Array Sequence Analysis
Theoretical Models
Gene Expression

ASJC Scopus subject areas

  • Biotechnology
  • Molecular Biology

Cite this

Computational models reconstruct gene regulatory networks. / Bezerianos, Anastasios; Maraziotis, Ioannis A.

In: Molecular BioSystems, Vol. 4, No. 10, 2008, p. 993-1000.

Research output: Contribution to journalArticle

Bezerianos, A & Maraziotis, IA 2008, 'Computational models reconstruct gene regulatory networks', Molecular BioSystems, vol. 4, no. 10, pp. 993-1000. https://doi.org/10.1039/b800446n
Bezerianos, Anastasios ; Maraziotis, Ioannis A. / Computational models reconstruct gene regulatory networks. In: Molecular BioSystems. 2008 ; Vol. 4, No. 10. pp. 993-1000.
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