Multitask CapsNet: An Imbalanced Data Deep Learning Method for Predicting Toxicants

[Image: see text] Drug development has a high failure rate, with safety properties constituting a considerable challenge. To reduce risk, in silico tools, including various machine learning methods, have been applied for toxicity prediction. However, these approaches often confront a serious problem...

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Detalles Bibliográficos
Autores principales: Wang, Yiwei, Wang, Binyou, Jiang, Jie, Guo, Jianmin, Lai, Jia, Lian, Xiao-Yuan, Wu, Jianming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515573/
https://www.ncbi.nlm.nih.gov/pubmed/34661009
http://dx.doi.org/10.1021/acsomega.1c03842

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515573/
https://www.ncbi.nlm.nih.gov/pubmed/34661009
http://dx.doi.org/10.1021/acsomega.1c03842

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