A Gaussian process approach facilitates the identification of robust biomarkers for exposure to complex pesticide mixtures
- DOI
- 10.1093/etojnl/vgag252
- Published
- 2026-09-19
- Container
- Environmental Toxicology and Chemistry
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/etojnl/vgag252,
title = {A Gaussian process approach facilitates the identification of robust biomarkers for exposure to complex pesticide mixtures},
author = {Ruben Bakker and Yuliya Shapovalova and Tjeerd M H Dijkstra and Tom Heskes and Cornelis A M van Gestel and Katja Hoedjes},
year = {2026},
journal = {Environmental Toxicology and Chemistry},
doi = {10.1093/etojnl/vgag252},
url = {https://doi.org/10.1093/etojnl/vgag252}
}RIS
TY - JOUR TI - A Gaussian process approach facilitates the identification of robust biomarkers for exposure to complex pesticide mixtures AU - Ruben Bakker AU - Yuliya Shapovalova AU - Tjeerd M H Dijkstra AU - Tom Heskes AU - Cornelis A M van Gestel AU - Katja Hoedjes PY - 2026 JO - Environmental Toxicology and Chemistry DO - 10.1093/etojnl/vgag252 UR - https://doi.org/10.1093/etojnl/vgag252 ER -
APA
Bakker, R., Shapovalova, Y., Dijkstra, T. M. H., Heskes, T., Gestel, C. A. M. V., & Hoedjes, K. (2026). A Gaussian process approach facilitates the identification of robust biomarkers for exposure to complex pesticide mixtures. Environmental Toxicology and Chemistry. https://doi.org/10.1093/etojnl/vgag252
Source records
- crossref · retrieved 2026-09-25T22:18:43.182Z