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Majority Rules with Random Tie-Breaking in Boolean Gene Regulatory Networks

https://doi.org/10.1371/journal.pone.0069626
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-19621-8_6openalex-snapshot
Boolean Threshold Networks: Virtues and Limitations for Biological Modeling
inferredcites →https://doi.org/10.1007/bf02478259openalex-snapshot
A logical calculus of the ideas immanent in nervous activity
inferredcites →https://doi.org/10.1007/s00285-005-0359-xopenalex-snapshot
Discrete time piecewise affine models of genetic regulatory networks
inferredcites →https://doi.org/10.1016/0022-5193(69)90015-0openalex-snapshot
Metabolic stability and epigenesis in randomly constructed genetic nets
inferredcites →https://doi.org/10.1016/0022-5193(73)90247-6openalex-snapshot
Boolean formalization of genetic control circuits
inferredcites →https://doi.org/10.1016/j.febslet.2009.02.010openalex-snapshot
Robustness and topology of the yeast cell cycle Boolean network
inferredcites →https://doi.org/10.1016/j.gde.2010.09.005openalex-snapshot
Logical and symbolic analysis of robust biological dynamics
inferredcites →https://doi.org/10.1016/j.jtbi.2006.11.012openalex-snapshot
Superstability of the yeast cell-cycle dynamics: Ensuring causality in the presence of biochemical stochasticity
inferredcites →https://doi.org/10.1016/j.jtbi.2008.12.028openalex-snapshot
Logical analysis of the budding yeast cell cycle
inferredcites →https://doi.org/10.1016/j.physd.2006.05.009openalex-snapshot
Stochastic model of yeast cell-cycle network
inferredcites →https://doi.org/10.1038/nbt1356openalex-snapshot
Executable cell biology
inferredcites →https://doi.org/10.1039/b907562nopenalex-snapshot
Logical modelling of cell cycle control in eukaryotes: a comparative study
inferredcites →https://doi.org/10.1039/b910101mopenalex-snapshot
Modular logical modelling of the budding yeast cell cycle
inferredcites →https://doi.org/10.1073/pnas.0305937101openalex-snapshot
The yeast cell-cycle network is robustly designed
inferredcites →https://doi.org/10.1073/pnas.79.8.2554openalex-snapshot
Neural networks and physical systems with emergent collective computational abilities.
inferredcites →https://doi.org/10.1089/10665270252833208openalex-snapshot
Modeling and Simulation of Genetic Regulatory Systems: A Literature Review
inferredcites →https://doi.org/10.1090/mbk/058openalex-snapshot
Markov Chains and Mixing Times
inferredcites →https://doi.org/10.1093/bioinformatics/18.2.261openalex-snapshot
Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks
inferredcites →https://doi.org/10.1093/bioinformatics/btl210openalex-snapshot
Dynamical analysis of a generic Boolean model for the control of the mammalian cell cycle
inferredcites →https://doi.org/10.1093/bioinformatics/btn287openalex-snapshot
From minimal signed circuits to the dynamics of Boolean regulatory networks
inferredcites →https://doi.org/10.1093/bioinformatics/btp214openalex-snapshot
Modeling stochasticity and robustness in gene regulatory networks
inferredcites →https://doi.org/10.1098/rsif.2008.0132.focusopenalex-snapshot
Boolean network models of cellular regulation: prospects and limitations
inferredcites →https://doi.org/10.1103/physreve.76.011917openalex-snapshot
Representing perturbed dynamics in biological network models
inferredcites →https://doi.org/10.1186/1687-4153-2012-5openalex-snapshot
Modeling stochasticity and variability in gene regulatory networks
inferredcites →https://doi.org/10.1186/1742-4682-3-13openalex-snapshot
A method for the generation of standardized qualitative dynamical systems of regulatory networks
inferredcites →https://doi.org/10.1371/journal.pone.0001672openalex-snapshot
Boolean Network Model Predicts Cell Cycle Sequence of Fission Yeast
inferredcites →https://doi.org/10.1371/journal.pone.0003626openalex-snapshot
Floral Morphogenesis: Stochastic Explorations of a Gene Network Epigenetic Landscape

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4327187openalex-extracted
Phase Transition of the 3-Majority Dynamics with Uniform Communication Noise
inferred← citeshttps://doi.org/10.1007/978-3-030-34409-2_10openalex-snapshot
Fault Detection and Isolation in Smart Grid Devices Using Probabilistic Boolean Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-09993-9_6openalex-snapshot
Phase Transition of the 3-Majority Dynamics with Uniform Communication Noise
inferred← citeshttps://doi.org/10.1007/978-981-99-6550-2_2openalex-snapshot
Software Change Prediction Model Using Ensemble Learning
inferred← citeshttps://doi.org/10.1007/s10845-015-1143-4openalex-snapshot
Probabilistic Boolean network modeling of an industrial machine
inferred← citeshttps://doi.org/10.1007/s10845-015-1183-9openalex-snapshot
Probabilistic Boolean network modeling and model checking as an approach for DFMEA for manufacturing systems
inferred← citeshttps://doi.org/10.1007/s10845-016-1226-xopenalex-snapshot
Modeling preventive maintenance of manufacturing processes with probabilistic Boolean networks with interventions
inferred← citeshttps://doi.org/10.1016/j.biosystems.2015.07.007openalex-snapshot
Effective Boolean dynamics analysis to identify functionally important genes in large-scale signaling networks
inferred← citeshttps://doi.org/10.1016/j.chaos.2016.10.006openalex-snapshot
Flux through a Markov chain
inferred← citeshttps://doi.org/10.1016/j.jtbi.2022.111025openalex-snapshot
Boolean function metrics can assist modelers to check and choose logical rules
inferred← citeshttps://doi.org/10.1016/j.tcs.2024.115030openalex-snapshot
Phase transition of the 3-majority opinion dynamics with noisy interactions
inferred← citeshttps://doi.org/10.1093/bib/bbae396openalex-snapshot
Reconstruction of gene regulatory networks for Caenorhabditis elegans using tree-shaped gene expression data
inferred← citeshttps://doi.org/10.1093/comnet/cnaf011openalex-snapshot
Stability of threshold Boolean networks
inferred← citeshttps://doi.org/10.1101/2021.02.04.429865openalex-snapshot
Mathematical model reveals that heterogeneity in the number of ion transporters regulates the fraction of mouse sperm capacitation
inferred← citeshttps://doi.org/10.1109/iciccs53718.2022.9788196openalex-snapshot
Software Change Prediction using Ensemble Learning on Object Oriented Metrics
inferred← citeshttps://doi.org/10.1155/2022/3652441openalex-snapshot
Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices
inferred← citeshttps://doi.org/10.1371/journal.pone.0245816openalex-snapshot
Mathematical model reveals that heterogeneity in the number of ion transporters regulates the fraction of mouse sperm capacitation
inferred← citeshttps://doi.org/10.48550/arxiv.1901.07623openalex-snapshot
Partial Order on the set of Boolean Regulatory Functions
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