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Model-based cell clustering and population tracking for time-series flow cytometry data

Kodai Minoura, Ko Abe, Yuka Maeda, Hiroyoshi Nishikawa, Teppei Shimamura
doi: https://doi.org/10.1101/690081

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doi 
https://doi.org/10.1101/690081
History 
  • July 2, 2019.
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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. Kodai Minoura1,2,†,
  2. Ko Abe1,†,
  3. Yuka Maeda3,
  4. Hiroyoshi Nishikawa2,3 and
  5. Teppei Shimamura1,*
  1. 1Division of Systems Biology, Graduate School of Medicine, Nagoya University, 65 Trumumai-cho, Showa-ku, 4668550 Nagoya, Japan
  2. 2Division of Immunology, Graduate School of Medicine, Nagoya University, 65 Trumumai-cho, Showa-ku, 4668550 Nagoya, Japan
  3. 3Division of Cancer Immunology, Research Institute/EPOC, National Cancer Center, 1040045/2778577 Tokyo/Chiba, Japan
  1. ↵*Correspondence: shimamura{at}med.nagoya-u.ac.jp

  1. ↵† Equal contributor

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Posted July 02, 2019.
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Model-based cell clustering and population tracking for time-series flow cytometry data
Kodai Minoura, Ko Abe, Yuka Maeda, Hiroyoshi Nishikawa, Teppei Shimamura
bioRxiv 690081; doi: https://doi.org/10.1101/690081
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