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pastboon
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Install from CRAN:
install.packages("pastboon")
Install from Github:
library("remotes")
install_github("cran/pastboon")
Install by package version:
library("remotes")
install_version("pastboon", "0.1.4")
Attach the package and use:
library("pastboon")
Maintained by
Mohammad Taheri-Ledari
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[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.pastboon . https://github.com/taherimo/pastboon/issues . pastboon results . pastboon.pdf . pastboon_0.1.4.tar.gz . pastboon_0.1.4.zip . pastboon_0.1.4.zip . pastboon_0.1.4.zip . pastboon_0.1.4.tgz . pastboon_0.1.4.tgz . pastboon_0.1.4.tgz . pastboon_0.1.4.tgz . pastboon_0.1.4.tgz . pastboon_0.1.4.tgz . pastboon archive . https://CRAN.R-project.org/package=pastboon .
First Published: 2024-07-23
Latest Update: 2024-07-23
Description:
Applying stochastic noise to Boolean networks is a useful approach for representing the effects of various perturbing stimuli on complex systems. A number of methods have been developed to control noise effects on Boolean networks using parameters integrated into the update rules. This package provides functions to examine three such methods: BNp (Boolean network with perturbations), described by Trairatphisan et al. (2013) <doi:10.1186/1478-811X-11-46>, SDDS (stochastic discrete dynamical systems), proposed by Murrugarra et al. (2012) <doi:10.1186/1687-4153-2012-5>, and PEW (Boolean network with probabilistic edge weights), presented by Deritei et al. (2022) <doi:10.1371/journal.pcbi.1010536>. This package includes source code derived from the 'BoolNet' package, which is licensed under the Artistic License 2.0.
How to cite:
Mohammad Taheri-Ledari (2024). pastboon: Simulation of Parameterized Stochastic Boolean Networks. R package version 0.1.4, https://cran.r-project.org/web/packages/pastboon. Accessed 23 Feb. 2025.
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