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Creating artificial human genomes using generative neural networks
Generative models have shown breakthroughs in a wide spectrum of domains due to recent advancements in machine learning algorithms and increased computational power. Despite these impressive achievements, the ability of generative models to create realistic synthetic data is still under-exploited in...
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| Publicado no: | PLoS Genet |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7861435/ https://ncbi.nlm.nih.gov/pubmed/33539374 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pgen.1009303 |
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