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

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

Abstract 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 sin...

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Autores principales: Martin Treppner, Adrián Salas-Bastos, Moritz Hess, Stefan Lenz, Tanja Vogel, Harald Binder
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/959146bec92e4abe9a6e3406415aeb4b
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