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Bayesian segmentation of spatially resolved transcriptomics data

Viktor Petukhov, Ruslan A. Soldatov, Konstantin Khodosevich, Peter V. Kharchenko
doi: https://doi.org/10.1101/2020.10.05.326777
Viktor Petukhov
1Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
2Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
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Ruslan A. Soldatov
2Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
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Konstantin Khodosevich
1Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Peter V. Kharchenko
2Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
3Harvard Stem Cell Institute, Cambridge, MA, USA
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  • For correspondence: peter_kharchenko@hms.harvard.edu
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Article Information

doi 
https://doi.org/10.1101/2020.10.05.326777
History 
  • October 6, 2020.
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. Viktor Petukhov1,2,
  2. Ruslan A. Soldatov2,
  3. Konstantin Khodosevich1 and
  4. Peter V. Kharchenko2,3,*
  1. 1Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
  2. 2Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
  3. 3Harvard Stem Cell Institute, Cambridge, MA, USA
  1. ↵*correspondence should be addressed to: peter_kharchenko{at}hms.harvard.edu
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Posted October 06, 2020.
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Bayesian segmentation of spatially resolved transcriptomics data
Viktor Petukhov, Ruslan A. Soldatov, Konstantin Khodosevich, Peter V. Kharchenko
bioRxiv 2020.10.05.326777; doi: https://doi.org/10.1101/2020.10.05.326777
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Bayesian segmentation of spatially resolved transcriptomics data
Viktor Petukhov, Ruslan A. Soldatov, Konstantin Khodosevich, Peter V. Kharchenko
bioRxiv 2020.10.05.326777; doi: https://doi.org/10.1101/2020.10.05.326777

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