The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology

Recent advances in deep learning and specifically in generative adversarial networks have demonstrated surprising results in generating new images and videos upon request even using natural language as input. In this paper we present the first application of generative adversarial autoencoders (AAE)...

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Detalles Bibliográficos
Autores principales: Kadurin, Artur, Aliper, Alexander, Kazennov, Andrey, Mamoshina, Polina, Vanhaelen, Quentin, Khrabrov, Kuzma, Zhavoronkov, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5355231/
https://www.ncbi.nlm.nih.gov/pubmed/28029644
http://dx.doi.org/10.18632/oncotarget.14073

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5355231/
https://www.ncbi.nlm.nih.gov/pubmed/28029644
http://dx.doi.org/10.18632/oncotarget.14073

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