Exploring generative deep learning for omics data using log-linear models

MOTIVATION: Following many successful applications to image data, deep learning is now also increasingly considered for omics data. In particular, generative deep learning not only provides competitive prediction performance, but also allows for uncovering structure by generating synthetic samples....

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Detalles Bibliográficos
Autores principales: Hess, Moritz, Hackenberg, Maren, Binder, Harald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755415/
https://www.ncbi.nlm.nih.gov/pubmed/32647888
http://dx.doi.org/10.1093/bioinformatics/btaa623

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755415/
https://www.ncbi.nlm.nih.gov/pubmed/32647888
http://dx.doi.org/10.1093/bioinformatics/btaa623

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