The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
An algorithm for modularity analysis of directed and weighted biological networks based on edge-betweenness centrality
Open accessAbstract
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. Contact: kyongbum.lee@tufts.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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Cites
Centrality in social networks conceptual clarification
Freeman, L. C. (1978) · Social Networks · doi:10.1016/0378-8733(78)90021-7 · Cited by 17,062
Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931
From molecular to modular cell biology.
Hartwell, L. H., Hopfield, J. J., Leibler, S., & Murray, A. W. (1999) · Nature · doi:10.1038/35011540 · Cited by 3,632
Cited by
A human functional protein interaction network and its application to cancer data analysis
Wu, G., Feng, X., & Stein, L. (2010) · Genome Biology · doi:10.1186/gb-2010-11-5-r53 · Cited by 692
Topological analysis and interactive visualization of biological networks and protein structures
Doncheva, N. T., Assenov, Y., Domingues, F. S., & Albrecht, M. (2012) · Nature Protocols · doi:10.1038/nprot.2012.004 · Cited by 503
Computational approaches for detecting protein complexes from protein interaction networks: a survey
Li, X., Wu, M., Kwoh, C.-K., & Ng, S.-K. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-s1-s3 · Cited by 349
Metadata
- Authors
- Yoon, J., Blumer, A., & Lee, K.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-10-23
- Volume
- 22
- Issue
- 24
- Pages
- 3106-3108
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2129620576
- Cited by
- 235
- References
- 3
- FWCI
- 2.09
- Type
- journal article
- Language
- en
- Open access
- bronze
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