AmesNet: A Task-Conditioned Deep Learning Model with Enhanced Sensitivity and Generalization in Ames Mutagenicity Prediction.

Umansky TJ, Woods VA, Russell SM, Haders DJ

Open source

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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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

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