The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks
Open accessAbstract
The structural analysis of biological networks includes the ranking of the vertices based on the connection structure of a network. To support this analysis we discuss centrality measures which indicate the importance of vertices, and demonstrate their applicability on a gene regulatory network. We show that common centrality measures result in different valuations of the vertices and that novel measures tailored to specific biological investigations are useful for the analysis of biological networks, in particular gene regulatory networks.
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Cites
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A Set of Measures of Centrality Based on Betweenness
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Lethality and centrality in protein networks
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Transcriptional Regulatory Networks in Saccharomyces cerevisiae
Lee, T. I., Rinaldi, N. J., Robert, F., Odom, D. T., Bar-Joseph, Z., Gerber, G. K., Hannett, N. M., Harbison, C. T., Thompson, C. M., Simon, I., et al. (2002) · Science · doi:10.1126/science.1075090 · Cited by 2,956
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Cited by
A Guide to Conquer the Biological Network Era Using Graph Theory
Koutrouli, M., Karatzas, E., Paez-Espino, D., & Pavlopoulos, G. A. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00034 · Cited by 264
Drug target prioritization by perturbed gene expression and network information
Isik, Z., Baldow, C., Cannistraci, C. V., & Schroeder, M. (2015) · Scientific Reports · doi:10.1038/srep17417 · Cited by 135
Comparative study of RNA-seq- and Microarray-derived coexpression networks in Arabidopsis thaliana
Giorgi, F. M., Del Fabbro, C., & Licausi, F. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt053 · Cited by 103
“On these networks, we calculated for each gene three different measures for network centrality (Koschützki and Schreiber, 2008), specifically: degree (number of connections), clustering coefficient (normalized amount of connections between the gene’s neighbours) and shortest path betweenness (normalized number of time…”
Comparative assessment of differential network analysis methods
Lichtblau, Y., Zimmermann, K., Haldemann, B., Lenze, D., Hummel, M., & Leser, U. (2016) · Briefings in Bioinformatics · doi:10.1093/bib/bbw061 · Cited by 76
Structural and dynamical analysis of biological networks
Klein, C., Marino, A., Sagot, M.-F., Vieira Milreu, P., & Brilli, M. (2012) · Briefings in Functional Genomics · doi:10.1093/bfgp/els030 · Cited by 34
Metadata
- Authors
- Koschützki, D., & Schreiber, F.
- Venue
- Gene Regulation and Systems Biology
- Publisher
- SAGE Publications
- Published
- 2008-01
- Volume
- 2
- Pages
- 193-201
- ISSN
- 1177-6250 (ISSN-L)
- OpenAlex
- W118100147
- Cited by
- 345
- References
- 32
- FWCI
- 0.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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