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Systems Biology in Biotech & PharmaDiscovery: Computational Systems Biology (CSB) in Health and Disease I

Systems Biology in Biotech & Pharma: Discovery: Computational Systems Biology (CSB) in Health and... [To date, few cellular and gene networks have been reconstructed and analyzed in full. Examples include some prokaryotes and few eukaryotes for cellular networks. The methods currently used to analyze single database genomic sets are usually mature and refined. Network reconstruction is also enabled by analysing the molecular connectivity of a system by using correlation analysis. Additionally, monitoring the dynamics of the system and measuring the system’s responses to perturbations such as drug administration or challenge tests can yield insights into the dynamics of the system. Microbial cells are fairly well characterized, but the status of similar efforts for mammalian cells is rather poor. While emergence can be conveniently studied via computational tools, the phenomenon of emergence is the single most important benefit of CSB.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Systems Biology in Biotech & PharmaDiscovery: Computational Systems Biology (CSB) in Health and Disease I

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References (75)

Publisher
Springer Netherlands
Copyright
© The Author(s) 2012
ISBN
978-94-007-2848-6
Pages
51 –67
DOI
10.1007/978-94-007-2849-3_5
Publisher site
See Chapter on Publisher Site

Abstract

[To date, few cellular and gene networks have been reconstructed and analyzed in full. Examples include some prokaryotes and few eukaryotes for cellular networks. The methods currently used to analyze single database genomic sets are usually mature and refined. Network reconstruction is also enabled by analysing the molecular connectivity of a system by using correlation analysis. Additionally, monitoring the dynamics of the system and measuring the system’s responses to perturbations such as drug administration or challenge tests can yield insights into the dynamics of the system. Microbial cells are fairly well characterized, but the status of similar efforts for mammalian cells is rather poor. While emergence can be conveniently studied via computational tools, the phenomenon of emergence is the single most important benefit of CSB.]

Published: Jan 4, 2012

Keywords: Biological Network; Canonical Correlation Analysis; Emergent Property; Multifactor Dimensionality Reduction; Undesirable Output

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