Biology – Quantitative Biology – Quantitative Methods
Scientific paper
2009-01-07
Phys. Rev. E 80, 040902(R) (2009) (Rapid Comm.)
Biology
Quantitative Biology
Quantitative Methods
Replaced by the version scheduled to appear in Phys. Rev. E (Rapid Comm.)
Scientific paper
10.1103/PhysRevE.80.040902
Understanding the dependence and interplay between architecture and function in biological networks has great relevance to disease progression, biological fabrication and biological systems in general. We propose methods to assess the association of various microbe characteristics and phenotypes with the topology of their networks. We adopt an automated approach to characterize metabolic networks of 32 microbial species using 11 topological metrics from complex networks. Clustering allows us to extract the indispensable, independent and informative metrics. Using hierarchical linear modeling, we identify relevant subgroups of these metrics and establish that they associate with microbial phenotypes surprisingly well. This work can serve as a stepping stone to cataloging biologically relevant topological properties of networks and towards better modeling of phenotypes. The methods we use can also be applied to networks from other disciplines.
Filkov Vladimir
Roy Soumen
No associations
LandOfFree
Strong associations between microbe phenotypes and their network architecture does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Strong associations between microbe phenotypes and their network architecture, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Strong associations between microbe phenotypes and their network architecture will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-720312