The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Scale-free networks in cell biology
Open accessAbstract
A cell's behavior is a consequence of the complex interactions between its numerous constituents, such as DNA, RNA, proteins and small molecules. Cells use signaling pathways and regulatory mechanisms to coordinate multiple processes, allowing them to respond to and adapt to an ever-changing environment. The large number of components, the degree of interconnectivity and the complex control of cellular networks are becoming evident in the integrated genomic and proteomic analyses that are emerging. It is increasingly recognized that the understanding of properties that arise from whole-cell function require integrated, theoretical descriptions of the relationships between different cellular components. Recent theoretical advances allow us to describe cellular network structure with graph concepts and have revealed organizational features shared with numerous non-biological networks. We now have the opportunity to describe quantitatively a network of hundreds or thousands of interacting components. Moreover, the observed topologies of cellular networks give us clues about their evolution and how their organization influences their function and dynamic responses.
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Cites
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BackgroundA comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae
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Cited by
Network medicine: a network-based approach to human disease
Barabási, A.-L., Gulbahce, N., & Loscalzo, J. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2918 · Cited by 5,034
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Eigengene networks for studying the relationships between co-expression modules
Langfelder, P., & Horvath, S. (2007) · BMC Systems Biology · doi:10.1186/1752-0509-1-54 · Cited by 867
Geometric Interpretation of Gene Coexpression Network Analysis
Horvath, S., & Dong, J. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000117 · Cited by 851
Lim, J., Hao, T., Shaw, C., Patel, A. J., Szabó, G., Rual, J.-F., Fisk, C. J., Li, N., Smolyar, A., Hill, D. E., et al. (2006) · Cell · doi:10.1016/j.cell.2006.03.032 · Cited by 789
Metadata
- Authors
- Albert, R.
- Venue
- Journal of Cell Science
- Publisher
- The Company of Biologists
- Published
- 2005-11-01
- Volume
- 118
- Issue
- 21
- Pages
- 4947-4957
- ISSN
- 0021-9533 (ISSN-L)
- 1477-9137
- OpenAlex
- W1989921625
- Cited by
- 1,215
- References
- 11
- FWCI
- 14.17
- Type
- journal article
- Language
- en
- Open access
- green
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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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