DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing
- Submitting institution
-
Brunel University London
- Unit of assessment
- 7 - Earth Systems and Environmental Sciences
- Output identifier
- 037-222465-7003957
- Type
- D - Journal article
- DOI
-
10.1016/j.fsigen.2017.02.009
- Title of journal
- Forensic Science International: Genetics
- Article number
- -
- First page
- 225
- Volume
- 28
- Issue
- -
- ISSN
- 1872-4973
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
https://ars.els-cdn.com/content/image/1-s2.0-S1872497317300388-mmc1.docx
- 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
-
5
- Research group(s)
-
-
- Citation count
- 64
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
