The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Random Boolean network models and the yeast transcriptional network
Open accessAbstract
The recently measured yeast transcriptional network is analyzed in terms of simplified Boolean network models, with the aim of determining feasible rule structures, given the requirement of stable solutions of the generated Boolean networks. We find that, for ensembles of generated models, those with canalyzing Boolean rules are remarkably stable, whereas those with random Boolean rules are only marginally stable. Furthermore, substantial parts of the generated networks are frozen, in the sense that they reach the same state, regardless of initial state. Thus, our ensemble approach suggests that the yeast network shows highly ordered dynamics.
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Cites
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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
Functional Discovery via a Compendium of Expression Profiles
Hughes, T. R., Marton, M. J., Jones, A. R., Roberts, C. J., Stoughton, R., Armour, C. D., Bennett, H. A., Coffey, E., Dai, H., He, Y. D., et al. (2000) · Cell · doi:10.1016/s0092-8674(00)00015-5 · Cited by 2,533
The Origins of Order: Self-Organization and Selection in Evolution
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Self-citationOrigins of Order in Evolution: Self-Organization and Selection
Kauffman, S. A. (1992) · Understanding Origins · doi:10.1007/978-94-015-8054-0_8 · Cited by 642
Self-citationA model of transcriptional regulatory networks based on biases in the observed regulation rules
Harris, S. E., Sawhill, B. K., Wuensche, A., & Kauffman, S. (2002) · Complexity · doi:10.1002/cplx.10022 · Cited by 277
Self-citationEvolution of overlaps between configurations in random Boolean networks
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Chain functions and scoring functions in genetic networks
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Cited by
Modelling and analysis of gene regulatory networks
Karlebach, G., & Shamir, R. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2503 · Cited by 1,296
Structure and dynamics of molecular networks: A novel paradigm of drug discovery
Csermely, P., Korcsmáros, T., Kiss, H. J. M., London, G., & Nussinov, R. (2013) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2013.01.016 · Cited by 892
Robustness can evolve gradually in complex regulatory gene networks with varying topology
Ciliberti, S., Martin, O. C., & Wagner, A. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030015 · Cited by 390
Boolean network models of cellular regulation: prospects and limitations
Bornholdt, S. (2008) · Journal of The Royal Society Interface · doi:10.1098/rsif.2008.0132.focus · Cited by 394
Biomolecular computing systems: principles, progress and potential
Benenson, Y. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3197 · Cited by 373
Metadata
- Authors
- Kauffman, S., Peterson, C., Samuelsson, B., & Troein, C.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2003-12
- Volume
- 100
- Issue
- 25
- Pages
- 14796-14799
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2111123076
- Cited by
- 553
- References
- 9
- FWCI
- 6.00
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
