Predicting global diet-disease relationships at the atomic level: a COVID-19 case study.
- DOI
- 10.1016/j.cofs.2021.12.013
- Published
- 2022 Apr
- Container
- Current opinion in food science
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.cofs.2021.12.013,
title = {Predicting global diet-disease relationships at the atomic level: a COVID-19 case study.},
author = {Cheung LK and Yada RY},
year = {2022},
journal = {Current opinion in food science},
doi = {10.1016/j.cofs.2021.12.013},
url = {https://doi.org/10.1016/j.cofs.2021.12.013}
}RIS
TY - JOUR TI - Predicting global diet-disease relationships at the atomic level: a COVID-19 case study. AU - Cheung LK AU - Yada RY PY - 2022 JO - Current opinion in food science DO - 10.1016/j.cofs.2021.12.013 UR - https://doi.org/10.1016/j.cofs.2021.12.013 ER -
APA
LK, C., & RY, Y. (2022). Predicting global diet-disease relationships at the atomic level: a COVID-19 case study.. Current opinion in food science. https://doi.org/10.1016/j.cofs.2021.12.013
Source records
- pubmed · retrieved 2026-09-25T16:24:42.198Z