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Deep convolutional and conditional neural networks for large-scale genomic data generation
Applications of generative models for genomic data have gained significant momentum in the past few years, with scopes ranging from data characterization to generation of genomic segments and functional sequences. In our previous study, we demonstrated that generative adversarial networks (GANs) and...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635570/ https://www.ncbi.nlm.nih.gov/pubmed/37903158 http://dx.doi.org/10.1371/journal.pcbi.1011584 |