Metabolic Flux-Based Modularity using Shortest Retroactive distances.

Hassoun, Soha.
Sridharan, Gautham Vivek.
Yi, Michael.
Lee, Kyongbum.
2012

Background: Graph-based modularity analysis has emerged as an important tool to study the functional organization of biological networks. However, few methods are available to study state-dependent changes in network modularity using biological activity data. We develop a weighting scheme, based on metabolic flux data, to adjust the interaction distances in a reaction-centric graph model of a meta... read more

Subjects
Systems biology.
Tufts University. Department of Computer Science.
Permanent URL
http://hdl.handle.net/10427/009702
Original publication
Sridharan et al.: Metabolic Flux-Based Modularity using Shortest Retroactive distances. BMC Systems Biology 2012 6:155. doi: 10.1186/1752-0509-6-155.
ID: tufts:18153
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