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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)...
Autores principales: | Kadurin, Artur, Aliper, Alexander, Kazennov, Andrey, Mamoshina, Polina, Vanhaelen, Quentin, Khrabrov, Kuzma, Zhavoronkov, Alex |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
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 |
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