A novel deep mining model for effective knowledge discovery from omics data
- Submitting institution
-
Nottingham Trent University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 3 - 1297633
- Type
- D - Journal article
- DOI
-
10.1016/j.artmed.2020.101821
- Title of journal
- Artificial Intelligence in Medicine
- Article number
- 101821
- First page
- -
- Volume
- 104
- Issue
- -
- ISSN
- 0933-3657
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2020
- 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)
-
A - Computing and Informatics Research Centre
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Our paper's proposed model can be realised as an essential software tool for Bioinformaticians and Clinicians. They can interrogate the software tool for biomarkers relating to specific cancers. The significance of this paper is that bioinformaticians could use the proposed model for evaluating various panels of genetic biomarkers for an array of different diseases. Significance of the work lies in the fact that this paper led to invited follow-up article and interview and publication of cover story of Smart Diagnostics in Health Management magazine (https://healthmanagement.org/). This is an indicator of interest and promoting the research to the health community.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
