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DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level Representation
Carcinogenicity testing plays an essential role in identifying carcinogens in environmental chemistry and drug development. However, it is a time-consuming and label-intensive process to evaluate the carcinogenic potency with conventional 2-years rodent animal studies. Thus, there is an urgent need...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636933/ https://www.ncbi.nlm.nih.gov/pubmed/34870186 http://dx.doi.org/10.3389/frai.2021.757780 |