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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, View ORCID ProfileTeppei Shimamura
doi: https://doi.org/10.1101/690081
Kodai Minoura
1Division of Systems Biology, Graduate School of Medicine, Nagoya University, 65 Trumumai-cho, Showa-ku, 4668550 Nagoya, Japan
2Division of Immunology, Graduate School of Medicine, Nagoya University, 65 Trumumai-cho, Showa-ku, 4668550 Nagoya, Japan
Ko Abe
1Division of Systems Biology, Graduate School of Medicine, Nagoya University, 65 Trumumai-cho, Showa-ku, 4668550 Nagoya, Japan
Yuka Maeda
3Division of Cancer Immunology, Research Institute/EPOC, National Cancer Center, 1040045/2778577 Tokyo/Chiba, Japan
Hiroyoshi Nishikawa
2Division of Immunology, Graduate School of Medicine, Nagoya University, 65 Trumumai-cho, Showa-ku, 4668550 Nagoya, Japan
3Division of Cancer Immunology, Research Institute/EPOC, National Cancer Center, 1040045/2778577 Tokyo/Chiba, Japan
Teppei Shimamura
1Division of Systems Biology, Graduate School of Medicine, Nagoya University, 65 Trumumai-cho, Showa-ku, 4668550 Nagoya, Japan
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Posted July 02, 2019.
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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