Quantitative Toxicity Prediction via Meta Ensembling of Multitask Deep Learning Models

[Image: see text] Toxicity prediction using quantitative structure–activity relationship has achieved significant progress in recent years. However, most existing machine learning methods in toxicity prediction utilize only one type of feature representation and one type of neural network, which ess...

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Detalles Bibliográficos
Autores principales: Karim, Abdul, Riahi, Vahid, Mishra, Avinash, Newton, M. A. Hakim, Dehzangi, Abdollah, Balle, Thomas, Sattar, Abdul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154128/
https://www.ncbi.nlm.nih.gov/pubmed/34056383
http://dx.doi.org/10.1021/acsomega.1c01247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154128/
https://www.ncbi.nlm.nih.gov/pubmed/34056383
http://dx.doi.org/10.1021/acsomega.1c01247

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