ArticlePhysical review letters2005
Canalizing Kauffman networks: nonergodicity and its effect on their critical behavior.
Article in Physical review letters, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Dynamics of attractor transitions in Boolean networks under noise.Chaos (Woodbury, N.Y.) · 2026Article
- Article
- Irreversibility in bacterial regulatory networks.Science advances · 2024Article
- Canalization reduces the nonlinearity of regulation in biological networks.NPJ systems biology and applications · 2024Article
- Models of Cell Processes are Far from the Edge of Chaos.PRX life · 2023Article
- Robustness, canalyzing functions and systems design.Theory in biosciences = Theorie in den Biowissenschaften · 2014Article
- A solution to the challenge of optimization on ''golf-course''-like fitness landscapes.PloS one · 2013Article
- Boolean modeling of collective effects in complex networks.Physical review. E, Statistical, nonlinear, and soft matter physics · 2009Article
- Nested Canalyzing, Unate Cascade, and Polynomial Functions.Physica D. Nonlinear phenomena · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Boolean networks have been used to study numerous phenomena, including gene regulation, neural networks, social interactions, and biological evolution. Here, we propose a general method for determining the critical behavior of Boolean systems built from arbitrary ensembles of Boolean functions. In particular, we solve the critical condition for systems of units operating according to canalizing functions and present strong numerical evidence that our approach correctly predicts the phase transition from order to chaos in such systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.