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Uncovering hidden biological processes by probabilistic filtering of single-cell data

View ORCID ProfileZoe Piran, View ORCID ProfileMor Nitzan
doi: https://doi.org/10.1101/2023.01.18.524512
Zoe Piran
1School of Computer Science and Engineering, The Hebrew University, Jerusalem, Israel
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Mor Nitzan
1School of Computer Science and Engineering, The Hebrew University, Jerusalem, Israel
2Racah Institute of Physics, The Hebrew University, Jerusalem, Israel
3Faculty of Medicine, The Hebrew University, Jerusalem, Israel
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  • For correspondence: mor.nitzan@mail.huji.ac.il
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Article Information

doi 
https://doi.org/10.1101/2023.01.18.524512
History 
  • January 20, 2023.
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-NC-ND 4.0 International license.

Author Information

  1. Zoe Piran1 and
  2. Mor Nitzan1,2,3,*
  1. 1School of Computer Science and Engineering, The Hebrew University, Jerusalem, Israel
  2. 2Racah Institute of Physics, The Hebrew University, Jerusalem, Israel
  3. 3Faculty of Medicine, The Hebrew University, Jerusalem, Israel
  1. ↵*Correspondence to mor.nitzan{at}mail.huji.ac.il
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Posted January 20, 2023.
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Uncovering hidden biological processes by probabilistic filtering of single-cell data
Zoe Piran, Mor Nitzan
bioRxiv 2023.01.18.524512; doi: https://doi.org/10.1101/2023.01.18.524512
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Uncovering hidden biological processes by probabilistic filtering of single-cell data
Zoe Piran, Mor Nitzan
bioRxiv 2023.01.18.524512; doi: https://doi.org/10.1101/2023.01.18.524512

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