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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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Détails bibliographiques
Publié dans:Oncotarget
Auteurs principaux: Kadurin, Artur, Aliper, Alexander, Kazennov, Andrey, Mamoshina, Polina, Vanhaelen, Quentin, Khrabrov, Kuzma, Zhavoronkov, Alex
Format: Artigo
Langue:Inglês
Publié: Impact Journals LLC 2016
Sujets:
Accès en ligne: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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