An algorithm for modularity analysis of directed and weighted biological networks based on edge-betweenness centrality.
Modularity analysis is a powerful tool for studying the design of biological networks, offering potential clues for relating the biochemical function(s) of a network with the 'wiring' of its components. Relatively little work has been done to examine whether the modularity of a network depends on the physiological perturbations that influence its biochemical state. Here, we present a novel modularity analysis algorithm based on edge-betweenness centrality, which facilitates the use of directional information and measurable biochemical data.
Yoon
Jeongah
J
Department of Chemical and Biological Engineering, Medford, MA 02155, USA.
Blumer
Anselm
A
Lee
Kyongbum
K
D000465:Algorithms; D002468:Cell Physiological Phenomena; D003198:Computer Simulation; D008954:Models, Biological; D025941:Protein Interaction Mapping / Q000379:methods*; D020543:Proteome / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*
D020543:Proteome