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GLay: community structure analysis of biological networks
Open accessAbstract
Summary: GLay provides Cytoscape users an assorted collection of versatile community structure algorithms and graph layout functions for network clustering and structured visualization. High performance is achieved by dynamically linking highly optimized C functions to the Cytoscape JAVA program, which makes GLay especially suitable for decomposition, display and exploratory analysis of large biological networks. Availability: http://brainarray.mbni.med.umich.edu/glay/ Contact: sugang@umich.edu
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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
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Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327
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Metadata
- Authors
- Su, G., Kuchinsky, A., Morris, J. H., States, D. J., & Meng, F.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-11-30
- Volume
- 26
- Issue
- 24
- Pages
- 3135-3137
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2165891030
- Cited by
- 275
- References
- 2
- FWCI
- 2.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Su, G., Kuchinsky, A., Morris, J. H., States, D. J., & Meng, F. (2010). GLay: community structure analysis of biological networks. Bioinformatics. https://doi.org/10.1093/bioinformatics/btq596
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