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 [issues need fixing before 2024-08-19] |
Documentation:
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