Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders
- DOI
- 10.1016/j.chemosphere.2023.140671
- Published
- 2024-01
- Container
- Chemosphere
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.chemosphere.2023.140671,
title = {Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders},
author = {Geven Piir and Sulev Sild and Uko Maran},
year = {2024},
journal = {Chemosphere},
doi = {10.1016/j.chemosphere.2023.140671},
url = {https://doi.org/10.1016/j.chemosphere.2023.140671}
}RIS
TY - JOUR TI - Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders AU - Geven Piir AU - Sulev Sild AU - Uko Maran PY - 2024 JO - Chemosphere DO - 10.1016/j.chemosphere.2023.140671 UR - https://doi.org/10.1016/j.chemosphere.2023.140671 ER -
APA
Piir, G., Sild, S., & Maran, U. (2024). Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere. https://doi.org/10.1016/j.chemosphere.2023.140671
Source records
- crossref · retrieved 2026-09-25T19:36:06.064Z