Extending and Applying Spartan to Perform Temporal Sensitivity Analyses for Predicting Changes in Influential Biological Pathways in Computational Models
- Submitting institution
-
University of Sunderland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 978
- Type
- D - Journal article
- DOI
-
10.1109/TCBB.2016.2527654
- Title of journal
- IEEE/ACM Transactions on Computational Biology and Bioinformatics
- Article number
- -
- First page
- 431
- Volume
- 14
- Issue
- 2
- ISSN
- 1545-5963
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2016
- URL
-
http://sure.sunderland.ac.uk/id/eprint/10844/
- 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
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Spartan has been downloaded over 10,000 times from CRAN repository https://cran.r-project.org/. This paper provided the technical input to an InnovateUK project for Simomics, with AstraZeneca, to develop virtual laboratories, see https://www.simomics.com/offerings which resulted in the commercial tool Virtual Fish Ecotoxicology Lab. This work itself is now the technical backbone of a funded Innovative Medicines Initiative programme for 6 years starting Sept. 2020 involving major pharmaceutical companies from across Europe https://imi-premier.eu/
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
