Integrating Omics Data with a Multiplex Network-based Approach for the Identification of Cancer Subtypes
- Submitting institution
-
University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 76474942
- Type
- D - Journal article
- DOI
-
10.1109/TNB.2016.2556640
- Title of journal
- IEEE Transactions on Nanobioscience
- Article number
- -
- First page
- 335
- Volume
- 15
- Issue
- 4
- ISSN
- 1536-1241
- Open access status
- Exception within 3 months of publication
- Month of publication
- April
- Year of publication
- 2016
- 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
-
4
- Research group(s)
-
B - Artificial Intelligence Research Centre
- Citation count
- 14
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <28> This work was an output of a research collaboration with the research team led by Prof Wu from University of Saskatchewan, Canada, leading to a further journal publication (DOI: 10.1109/TCBB.2018.2879342) and new collaborations with Scotland’s Rural College, UK and Sichuan University, China. The framework presented in the paper contributed to obtaining funding from Innovate UK for a new research project (Project reference: 102161, 2015-2018) and a PhD studentship (2019-2023) jointly funded by SRUC and Ulster University. The research supported the successful completion of the MetaPlat project (Horizon2020 MSCA-RISE, Grant No. 690998, 12/2015–12/2019) coordinated by Ulster University.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -