The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Stochastic modelling for quantitative description of heterogeneous biological systems
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Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
Monte Carlo sampling methods using Markov chains and their applications.
Hastings, W. K. (1970) · Biometrika · doi:10.1093/biomet/57.1.97 · Cited by 15,195
Mdm2 promotes the rapid degradation of p53
Haupt, Y., Maya, R., Kazaz, A., & Oren, M. (1997) · Nature · doi:10.1038/387296a0 · Cited by 4,506
Bayesian calibration of computer models
Kennedy, M. C., & O'Hagan, A. (2001) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00294 · Cited by 4,222
The Theory of Stochastic Processes
Cox, D. R., Miller, H. D., Weiss, G., & Shuler, K. (1966) · Physics Today · doi:10.1063/1.3047872 · Cited by 3,324
Computational systems biology.
Kitano, H. (2002) · Nature · doi:10.1038/nature01254 · Cited by 2,209
Intrinsic and extrinsic contributions to stochasticity in gene expression
Swain, P. S., Elowitz, M. B., & Siggia, E. D. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.162041399 · Cited by 1,661
Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise
Newman, J. R. S., Ghaemmaghami, S., Ihmels, J., Breslow, D. K., Noble, M., DeRisi, J. L., & Weissman, J. S. (2006) · Nature · doi:10.1038/nature04785 · Cited by 1,483
Stochastic protein expression in individual cells at the single molecule level
Cai, L., Friedman, N., & Xie, X. S. (2006) · Nature · doi:10.1038/nature04599 · Cited by 1,145 · cited 1×
“Experimental technology has developed to the extent that, in special cases, one can even observe stochasticity at the single-molecule leve”
Background
Cited by
Full-length RNA-seq from single cells using Smart-seq2
Picelli, S., Faridani, O. R., Björklund, Å. K., Winberg, G., Sagasser, S., & Sandberg, R. (2014) · Nature Protocols · doi:10.1038/nprot.2014.006 · Cited by 4,137
Generalizing RNA velocity to transient cell states through dynamical modeling
Bergen, V., Lange, M., Peidli, S., Wolf, F. A., & Theis, F. J. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0591-3 · Cited by 2,951
Global signatures of protein and mRNA expression levels
de Sousa Abreu, R., Penalva, L. O., Marcotte, E. M., & Vogel, C. (2009) · Molecular BioSystems · doi:10.1039/b908315d · Cited by 1,248
Dynamic regulation of transcriptional states by chromatin and transcription factors
Voss, T. C., & Hager, G. L. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3623 · Cited by 504
Zhang, X., Trame, M., Lesko, L., & Schmidt, S. (2015) · CPT: Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.6 · Cited by 467
Metadata
- Authors
- Wilkinson, D. J.
- Venue
- Nature Reviews Genetics
- Published
- 2009-02
- Volume
- 10
- Issue
- 2
- Pages
- 122-133
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2093470850
- Cited by
- 574
- References
- 13
- FWCI
- 2.32
- Type
- journal article
- Language
- en
- Open access
- green
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- Wilkinson, D. J. (2009). Stochastic modelling for quantitative description of heterogeneous biological systems. Nature Reviews Genetics. https://doi.org/10.1038/nrg2509
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.