A compositional framework for Boolean networks
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 257121-61922-1292
- Type
- D - Journal article
- DOI
-
10.1016/j.biosystems.2019.04.004
- Title of journal
- BioSystems
- Article number
- 103960
- First page
- -
- Volume
- 186
- Issue
- -
- ISSN
- 0303-2647
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2019
- URL
-
https://doi.org/10.1016/j.biosystems.2019.04.004
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
A - Advanced Model-Based Engineering and Reasoning (AMBER)
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work addresses the key problem restricting the application of Boolean state based modelling techniques, the state space explosion problem. It has resulted in a novel new formal approach for compositionally constructing and analysing Boolean networks which includes a range of important fundamental new results (e.g. interference state graph). The work resulted in a new prototype tool and provides the foundation for a wide range of further work (e.g. work on new decomposition techniques has recently begun). The work was high-lighted by the conference TPNC 2017 who selected it to be included in this journal special issue.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -