Machine learning methodology using a masked neural network for robust genetic risk score calculation from noisy and missing data
- DOI
- 10.1093/bib/bbag538
- Published
- 2026-09-01
- Container
- Briefings in Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/bib/bbag538,
title = {Machine learning methodology using a masked neural network for robust genetic risk score calculation from noisy and missing data},
author = {Steven Squires and Michael N Weedon and Richard A Oram},
year = {2026},
journal = {Briefings in Bioinformatics},
doi = {10.1093/bib/bbag538},
url = {https://doi.org/10.1093/bib/bbag538}
}RIS
TY - JOUR TI - Machine learning methodology using a masked neural network for robust genetic risk score calculation from noisy and missing data AU - Steven Squires AU - Michael N Weedon AU - Richard A Oram PY - 2026 JO - Briefings in Bioinformatics DO - 10.1093/bib/bbag538 UR - https://doi.org/10.1093/bib/bbag538 ER -
APA
Squires, S., Weedon, M. N., & Oram, R. A. (2026). Machine learning methodology using a masked neural network for robust genetic risk score calculation from noisy and missing data. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbag538
Source records
- crossref · retrieved 2026-11-10T06:50:36.291Z