A deep generative model for gene expression profiles from single-cell RNA sequencing
By Romain Lopez, Jeffrey C. Regier, Michael I. Jordan, Nir Yosef. 2017
6 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Erica Schmidt
- Maithra Raghu
- Simon Kornblith
- Boris Hanin
- Ari S. Morcos
- Thao Nguyen
- Yoshua Bengio
- Aniruddh Raghu
Citations in the corpus
- A Survey of Deep Learning for Scientific Discovery (2020, background): “Because of the explicit latent encoding and the ability to estimate likelihoods, they have also found use cases in various scientific settings, such as for modelling gene expression in single-cell RNA sequencing [138].”