pastboon: Simulation of Parameterized Stochastic Boolean Networks

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.

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Suggests:	BoolNet
Published:	2024-07-23
DOI:	10.32614/CRAN.package.pastboon
Author:	Mohammad Taheri-Ledari [aut, cre, cph], Kaveh Kavousi [ctb], Sayed-Amir Marashi [ctb], Authors of BoolNet [ctb] (Original authors of the BoolNet package), Troy D. Hanson [ctb] (contributed uthash macros)
Maintainer:	Mohammad Taheri-Ledari <mo.taheri at ut.ac.ir>
BugReports:	https://github.com/taherimo/pastboon/issues
License:	Artistic-2.0
NeedsCompilation:	yes
CRAN checks:	pastboon results

Documentation:

Reference manual:

pastboon.pdf

Downloads:

Package source:	pastboon_0.1.0.tar.gz
Windows binaries:	r-devel: pastboon_0.1.0.zip, r-release: pastboon_0.1.0.zip, r-oldrel: pastboon_0.1.0.zip
macOS binaries:	r-release (arm64): pastboon_0.1.0.tgz, r-oldrel (arm64): pastboon_0.1.0.tgz, r-release (x86_64): pastboon_0.1.0.tgz, r-oldrel (x86_64): pastboon_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pastboon to link to this page.