The DOI matches its Crossref record; 148 of the 148 references it cites were found in a registry or an index.
A model of transcriptional regulatory networks based on biases in the observed regulation rules
Abstract
Control rules governing transciption of eukaryotic genes can be modeled as Boolean function, and these rules are strongly biased toward large numbers of “canalizing” inputs. The ensemble of networks with the observed canalizing bias predicts cells are in an ordered regime with convergent flow in transcription state space, a percolating subnetwork of genes fixed on or off an isolated islands of twinkling genes turning on or off, and a near power‐law distribution of cascades of gene activity changes following perturbations. The data suggest that a given cell state or type can be represented as an attractor of transcriptional activity or flow over time. © 2002 Wiley Periodicals, Inc.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
3 retracted
Synergistic Activation of Estrogen Receptor with Combinations of Environmental Chemicals
Arnold, S. F., Klotz, D. M., Collins, B. M., Vonier, P. M., Guillette, L. J., & McLachlan, J. A. (1996) · Science · doi:10.1126/science.272.5267.1489 · Cited by 499
RetractedRETRACTED: TAFIIs Mediate Activation of Transcription in the Drosophila Embryo
Sauer, F., Wassarman, D. A., Rubin, G. M., & Tjian, R. (1996) · Cell · doi:10.1016/s0092-8674(00)81822-x · Cited by 65
RetractedTAFIIs Mediate Activation of Transcription in theDrosophilaEmbryo
Sauer, F., Wassarman, D. A., Rubin, G. M., & Tjian, R. (1998) · Cell · doi:10.1016/s0092-8674(02)09541-7 · Cited by 61
RetractedA Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 48,949
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2001) · Wiley eBooks · doi:10.1002/0471200611 · Cited by 36,808
The Mathematical Theory of Communication
Shannon, C. E., Weaver, W., & Wiener, N. (1950) · Physics Today · doi:10.1063/1.3067010 · Cited by 9,801
Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray
Schena, M., Shalon, D., Davis, R. W., & Brown, P. O. (1995) · Science · doi:10.1126/science.270.5235.467 · Cited by 9,609
The Origins of Order: Self-Organization and Selection in Evolution
Kauffman, S. A. (1993) · doi:10.1093/oso/9780195079517.001.0001 · Cited by 7,855
Self-citationDarnell, J. E., Kerr, L. M., & Stark, G. R. (1994) · Science · doi:10.1126/science.8197455 · Cited by 6,080
The Large-Scale Organization of Metabolic Networks
Jeong, H., Tombor, B., Albert, R., Oltvai, Z. N., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35036627 · Cited by 4,972
Cited by
Cell Fates as High-Dimensional Attractor States of a Complex Gene Regulatory Network
Huang, S., Eichler, G., Bar-Yam, Y., & Ingber, D. E. (2005) · Physical Review Letters · doi:10.1103/physrevlett.94.128701 · Cited by 775
Universality in network dynamics
Barzel, B., & Barabási, A.-L. (2013) · Nature Physics · doi:10.1038/nphys2741 · Cited by 396
Robustness and evolvability in genetic regulatory networks
Aldana, M., Balleza, E., Kauffman, S., & Resendiz, O. (2007) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2006.10.027 · Cited by 277
Self-citationGene-to-phenotype models and complex trait genetics
Cooper, M., Podlich, D. W., & Smith, O. S. (2005) · Australian Journal of Agricultural Research · doi:10.1071/ar05154 · Cited by 104
Guiding the self-organization of random Boolean networks
Gershenson, C. (2012) · Theory in Biosciences · doi:10.1007/s12064-011-0144-x · Cited by 68
Metadata
- Authors
- Harris, S. E., Sawhill, B. K., Wuensche, A., & Kauffman, S.
- Venue
- Complexity
- Publisher
- Wiley
- Published
- 2002-03
- Volume
- 7
- Issue
- 4
- Pages
- 23-40
- ISSN
- 1076-2787 (ISSN-L)
- 1099-0526
- OpenAlex
- W2029728812
- Cited by
- 277
- References
- 148
- FWCI
- 2.70
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A model of transcriptional regulatory networks based on biases in the observed regulation rules. https://app.cochat.ai/papers/10.1002/cplx.10022
- The paper
- Harris, S. E., Sawhill, B. K., Wuensche, A., & Kauffman, S. (2002). A model of transcriptional regulatory networks based on biases in the observed regulation rules. Complexity. https://doi.org/10.1002/cplx.10022
Data sources
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.
