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Gating mass cytometry data by deep learning
Huamin Li, Uri Shaham, Kelly P. Stanton, Yi Yao, Ruth Montgomery, Yuval Kluger
doi: https://doi.org/10.1101/054411
Huamin Li
1 Applied Mathematics Program, Yale University, 51 Prospect St., New Haven, CT 06511, USA
Uri Shaham
2 Department of Statistics, Yale University, 24 Hillhouse Ave., New Haven, CT 06511, USA
Kelly P. Stanton
3 Department of Pathology and Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA
Yi Yao
4 Department of Internal Medicine, Yale School of Medicine, 333 Cedar St., New Haven, CT 06520, USA
Ruth Montgomery
4 Department of Internal Medicine, Yale School of Medicine, 333 Cedar St., New Haven, CT 06520, USA
Yuval Kluger
1 Applied Mathematics Program, Yale University, 51 Prospect St., New Haven, CT 06511, USA
3 Department of Pathology and Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA
5 Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA

Article usage
Posted March 27, 2017.
Gating mass cytometry data by deep learning
Huamin Li, Uri Shaham, Kelly P. Stanton, Yi Yao, Ruth Montgomery, Yuval Kluger
bioRxiv 054411; doi: https://doi.org/10.1101/054411
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