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...

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Detalles Bibliográficos
Autores principales: Limbu, Sarita, Dakshanamurthy, Sivanesan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653664/
https://www.ncbi.nlm.nih.gov/pubmed/36365881
http://dx.doi.org/10.3390/s22218185

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