An algorithm for modularity analysis of directed and weighted biological networks based on edge-betweenness centrality.
basic_science · Level V
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Abstract
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.
Medical subject headings
- Algorithms
- Cell Physiological Phenomena
- Models, Biological
- Protein Interaction Mapping
- Proteome
- Signal Transduction