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An Empirical Bayes Method for Differential Expression Analysis of Single Cells with Deep Generative Models

View ORCID ProfilePierre Boyeau, View ORCID ProfileJeffrey Regier, View ORCID ProfileAdam Gayoso, Michael I. Jordan, View ORCID ProfileRomain Lopez, Nir Yosef
doi: https://doi.org/10.1101/2022.05.27.493625
Pierre Boyeau
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
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Jeffrey Regier
2Department of Statistics, University of Michigan, Ann Arbor
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Adam Gayoso
3Center for Computational Biology, University of California, Berkeley
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Michael I. Jordan
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
3Center for Computational Biology, University of California, Berkeley
4Department of Statistics, University of California, Berkeley
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Romain Lopez
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
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  • For correspondence: romain_lopez@berkeley.edu niryosef@berkeley.edu
Nir Yosef
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
3Center for Computational Biology, University of California, Berkeley
5Ragon Institute of MGH, MIT and Harvard, USA
6Chan Zuckerberg Biohub, San Francisco, USA
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  • For correspondence: romain_lopez@berkeley.edu niryosef@berkeley.edu
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Article Information

doi 
https://doi.org/10.1101/2022.05.27.493625
History 
  • May 29, 2022.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Pierre Boyeau1,
  2. Jeffrey Regier2,
  3. Adam Gayoso3,
  4. Michael I. Jordan1,3,4,
  5. Romain Lopez1,*,† and
  6. Nir Yosef1,3,5,6,*,†
  1. 1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
  2. 2Department of Statistics, University of Michigan, Ann Arbor
  3. 3Center for Computational Biology, University of California, Berkeley
  4. 4Department of Statistics, University of California, Berkeley
  5. 5Ragon Institute of MGH, MIT and Harvard, USA
  6. 6Chan Zuckerberg Biohub, San Francisco, USA
  1. ↵†Corresponding authors. Emails: romain_lopez{at}berkeley.edu (R.L.), niryosef{at}berkeley.edu (N.Y.).
  1. ↵* These authors contributed equally to this work.

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Posted May 29, 2022.
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An Empirical Bayes Method for Differential Expression Analysis of Single Cells with Deep Generative Models
Pierre Boyeau, Jeffrey Regier, Adam Gayoso, Michael I. Jordan, Romain Lopez, Nir Yosef
bioRxiv 2022.05.27.493625; doi: https://doi.org/10.1101/2022.05.27.493625
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An Empirical Bayes Method for Differential Expression Analysis of Single Cells with Deep Generative Models
Pierre Boyeau, Jeffrey Regier, Adam Gayoso, Michael I. Jordan, Romain Lopez, Nir Yosef
bioRxiv 2022.05.27.493625; doi: https://doi.org/10.1101/2022.05.27.493625

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