An algorithm for modularity analysis of directed and weighted biological networks based on edge-betweenness centrality |
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Authors: | Yoon Jeongah Blumer Anselm Lee Kyongbum |
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Institution: | Department of Chemical and Biological Engineering, Medford, MA 02155, USA. |
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Abstract: | MOTIVATION: 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. |
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