AmesNet: A Task-Conditioned Deep Learning Model with Enhanced Sensitivity and Generalization in Ames Mutagenicity Prediction.
- DOI
- 10.1021/acs.chemrestox.6c00082
- Published
- 2026 Jun 29
- Container
- Chemical research in toxicology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.chemrestox.6c00082,
title = {AmesNet: A Task-Conditioned Deep Learning Model with Enhanced Sensitivity and Generalization in Ames Mutagenicity Prediction.},
author = {Umansky TJ and Woods VA and Russell SM and Haders DJ},
year = {2026},
journal = {Chemical research in toxicology},
doi = {10.1021/acs.chemrestox.6c00082},
url = {https://doi.org/10.1021/acs.chemrestox.6c00082}
}RIS
TY - JOUR TI - AmesNet: A Task-Conditioned Deep Learning Model with Enhanced Sensitivity and Generalization in Ames Mutagenicity Prediction. AU - Umansky TJ AU - Woods VA AU - Russell SM AU - Haders DJ PY - 2026 JO - Chemical research in toxicology DO - 10.1021/acs.chemrestox.6c00082 UR - https://doi.org/10.1021/acs.chemrestox.6c00082 ER -
APA
TJ, U., VA, W., SM, R., & DJ, H. (2026). AmesNet: A Task-Conditioned Deep Learning Model with Enhanced Sensitivity and Generalization in Ames Mutagenicity Prediction.. Chemical research in toxicology. https://doi.org/10.1021/acs.chemrestox.6c00082
Source records
- pubmed · retrieved 2026-09-26T23:57:00.750Z