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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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Detalhes bibliográficos
Publicado no:Oncotarget
Main Authors: Kadurin, Artur, Aliper, Alexander, Kazennov, Andrey, Mamoshina, Polina, Vanhaelen, Quentin, Khrabrov, Kuzma, Zhavoronkov, Alex
Formato: Artigo
Idioma:Inglês
Publicado em: Impact Journals LLC 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5355231/
https://ncbi.nlm.nih.gov/pubmed/28029644
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/oncotarget.14073
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