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...

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Detalles Bibliográficos
Autores principales: Yelmen, Burak, Decelle, Aurélien, Boulos, Leila Lea, Szatkownik, Antoine, Furtlehner, Cyril, Charpiat, Guillaume, Jay, Flora
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
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

Internet

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

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