Reverse engineering of gene regulatory networks
Reverse engineering of gene regulatory networks
- Author(s): K.-H. Cho ; S.-M. Choo ; S.H. Jung ; J.-R. Kim ; H.-S. Choi ; J. Kim
- DOI: 10.1049/iet-syb:20060075
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- Author(s): K.-H. Cho 1 ; S.-M. Choo 2 ; S.H. Jung 3 ; J.-R. Kim 4 ; H.-S. Choi 5 ; J. Kim 5
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View affiliations
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Affiliations:
1: College of Medicine, Seoul National University, Jongno-gu, South Korea
2: School of Electrical Engineering, University of Ulsan, Ulsan, South Korea
3: Department of Information and Communication Engineering, Hansung University, South Korea
4: Bio-MAX Institute, Seoul National University, Gwanak-gu, South Korea
5: Interdisciplinary Program in Bioinformatics, Seoul National University, Gwanak-gu, South Korea
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Affiliations:
1: College of Medicine, Seoul National University, Jongno-gu, South Korea
- Source:
Volume 1, Issue 3,
May 2007,
p.
149 – 163
DOI: 10.1049/iet-syb:20060075 , Print ISSN 1751-8849, Online ISSN 1751-8857
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Systems biology is a multi-disciplinary approach to the study of the interactions of various cellular mechanisms and cellular components. Owing to the development of new technologies that simultaneously measure the expression of genetic information, systems biological studies involving gene interactions are increasingly prominent. In this regard, reconstructing gene regulatory networks (GRNs) forms the basis for the dynamical analysis of gene interactions and related effects on cellular control pathways. Various approaches of inferring GRNs from gene expression profiles and biological information, including machine learning approaches, have been reviewed, with a brief introduction of DNA microarray experiments as typical tools for measuring levels of messenger ribonucleic acid (mRNA) expression. In particular, the inference methods are classified according to the required input information, and the main idea of each method is elucidated by comparing its advantages and disadvantages with respect to the other methods. In addition, recent developments in this field are introduced and discussions on the challenges and opportunities for future research are provided.
Inspec keywords: cellular biophysics; molecular biophysics; genetic engineering
Other keywords:
Subjects: Biomolecular dynamics, molecular probes, molecular pattern recognition; Cellular biophysics; Biomolecular structure, configuration, conformation, and active sites
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