Combining pathway identification and breast cancer survival prediction via screening-network methods
- Submitting institution
-
Teesside University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 8379447
- Type
- D - Journal article
- DOI
-
10.3389/fgene.2018.00206
- Title of journal
- Frontiers in Genetics
- Article number
- 29963073
- First page
- -
- Volume
- 9
- Issue
- -
- ISSN
- 1664-8021
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2018
- 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
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposes a new computational model to predict cancer survival by screening key cancer-related genes. The research resulted in a research award from the Italian Embassy and invited talks at the University of Cambridge and University of Edinburgh. A simplified model has been developed and used in primary and secondary schools within the UK to inspire an interest in STEM subjects.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -