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Identifying progressive gene network perturbation from single-cell RNA-seq data

View ORCID ProfileSumit Mukherjee, Alberto Carignano, Georg Seelig, Su-In Lee
doi: https://doi.org/10.1101/297275
Sumit Mukherjee
1Department of Electrical Engineering, University of Washington, Seattle.
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  • ORCID record for Sumit Mukherjee
Alberto Carignano
1Department of Electrical Engineering, University of Washington, Seattle.
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Georg Seelig
1Department of Electrical Engineering, University of Washington, Seattle.
2Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle.
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Su-In Lee
2Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle.
3Department of Genome Sciences, University of Washington, Seattle.
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Article Information

doi 
https://doi.org/10.1101/297275
History 
  • April 7, 2018.
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. Sumit Mukherjee1,
  2. Alberto Carignano1,
  3. Georg Seelig1,2 and
  4. Su-In Lee2,3
  1. 1Department of Electrical Engineering, University of Washington, Seattle.
  2. 2Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle.
  3. 3Department of Genome Sciences, University of Washington, Seattle.
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Posted April 07, 2018.
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Identifying progressive gene network perturbation from single-cell RNA-seq data
Sumit Mukherjee, Alberto Carignano, Georg Seelig, Su-In Lee
bioRxiv 297275; doi: https://doi.org/10.1101/297275
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Identifying progressive gene network perturbation from single-cell RNA-seq data
Sumit Mukherjee, Alberto Carignano, Georg Seelig, Su-In Lee
bioRxiv 297275; doi: https://doi.org/10.1101/297275

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