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Deep generative modeling of sample-level heterogeneity in single-cell genomics
4 minutes Posted Dec 6, 2025 at 1:58 pm.
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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