An integrative top-down and bottom-up qualitative model construction framework for exploration of biochemical systems
- Submitting institution
-
University of Aberdeen
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 69011490
- Type
- D - Journal article
- DOI
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10.1007/s00500-014-1467-6
- Title of journal
- Soft Computing
- Article number
- -
- First page
- 1595
- Volume
- 19
- Issue
- -
- ISSN
- 1432-7643
- Open access status
- Out of scope for open access requirements
- Month of publication
- September
- Year of publication
- 2014
- URL
-
-
- 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
-
2
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The interdisciplinary research presented in the paper was funded by the BBSRC SABRE initiative (CRISP project, £5M), Its significance lies in the fact that it presented an effective and novel approach to learning qualitative models of biochemical systems. We have tested the framework on real biological systems and the results can provide insights into the biological systems of interest.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
