Evolving functional and structural dynamism in coupled boolean networks
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 811059
- Type
- D - Journal article
- DOI
-
10.1162/ARTL_a_00137
- Title of journal
- Artificial Life
- Article number
- -
- First page
- 441
- Volume
- 20
- Issue
- 4
- ISSN
- 1064-5462
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2014
- URL
-
http://dx.doi.org/10.1162/ARTL_a_00137
- 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
-
0
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper represents one of the first known explorations of mobile DNA within computational models of genetic regulatory networks. The selective advantage and temporally dynamic behaviour is shown to vary depending upon features of the underlying fitness landscape and general network properties.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
