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Predicting Chemical Carcinogens Using a Hybrid Neural Network Deep Learning Method
Determining environmental chemical carcinogenicity is urgently needed as humans are increasingly exposed to these chemicals. In this study, we developed a hybrid neural network (HNN) method called HNN-Cancer to predict potential carcinogens of real-life chemicals. The HNN-Cancer included a new SMILE...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653664/ https://www.ncbi.nlm.nih.gov/pubmed/36365881 http://dx.doi.org/10.3390/s22218185 |