Synthetic single cell RNA sequencing data from small pilot studies using deep generative models

Deep generative models, such as variational autoencoders (VAEs) or deep Boltzmann machines (DBMs), can generate an arbitrary number of synthetic observations after being trained on an initial set of samples. This has mainly been investigated for imaging data but could also be useful for single-cell...

Descripción completa

Detalles Bibliográficos
Autores principales: Treppner, Martin, Salas-Bastos, Adrián, Hess, Moritz, Lenz, Stefan, Vogel, Tanja, Binder, Harald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8087667/
https://www.ncbi.nlm.nih.gov/pubmed/33931726
http://dx.doi.org/10.1038/s41598-021-88875-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8087667/
https://www.ncbi.nlm.nih.gov/pubmed/33931726
http://dx.doi.org/10.1038/s41598-021-88875-4

Ejemplares similares