Deep generative modeling of sample-level heterogeneity in single-cell genomics
Description
This article " Deep generative modeling of sample-level heterogeneity in single-cell genomics" is published in Nature.
Author: Pierre Boyeau
Journal: Nature
Year: 2025
Podcast type: Short
Authors are:
- Pierre Boyeau
- Justin Hong
- Adam Gayoso
- Martin Kim
- José L. McFaline-Figueroa
- Michael I. Jordan
- Elham Azizi
- Can Ergen
- Nir Yosef
Affiliations:
Pierre Boyeau,Martin Kim,Michael I. Jordan,Can Ergen,Nir Yosef,University of California, Berkeley, CA, USA
Justin Hong,José L. McFaline-Figueroa,Elham Azizi,Columbia University, New York, NY, USA
Justin Hong,José L. McFaline-Figueroa,Elham Azizi,Irving Institute for Cancer Dynamics,
Columbia University, New York, NY, USA
José L. McFaline-Figueroa,Elham Azizi,Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
José L. McFaline-Figueroa,Elham Azizi,Department of Biomedical Engineering, Columbia University, New York, NY, USA
Adam Gayoso,Michael I. Jordan,Can Ergen,Nir Yosef,Center for Computational Biology, University of California, Berkeley, CA, USA
Michael I. Jordan,Department of Statistics, University of California, Berkeley, CA, USA
Nir Yosef, Weizmann Institute of Science, Rehovot, Israel
United States
