Advanced search
1 file | 2.70 MB Add to list

Learning single‐cell distances from cytometry data

(2019) CYTOMETRY PART A. 95. p.782-791
Author
Organization
Keywords
metric learning, flow cytometry, mass cytometry, microbiology, synthetic microbial communities, transfer learning, FLOW-CYTOMETRY, MASS CYTOMETRY, AUTOMATED-ANALYSIS, IDENTIFICATION, VISUALIZATION, IMMUNE

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 2.70 MB

Citation

Please use this url to cite or link to this publication:

MLA
Nguyen Cong, Bac, et al. “Learning Single‐cell Distances from Cytometry Data.” CYTOMETRY PART A, vol. 95, 2019, pp. 782–91, doi:10.1002/cyto.a.23792.
APA
Nguyen Cong, B., Rubbens, P., Kerckhof, F.-M., Boon, N., De Baets, B., & Waegeman, W. (2019). Learning single‐cell distances from cytometry data. CYTOMETRY PART A, 95, 782–791. https://doi.org/10.1002/cyto.a.23792
Chicago author-date
Nguyen Cong, Bac, Peter Rubbens, Frederiek-Maarten Kerckhof, Nico Boon, Bernard De Baets, and Willem Waegeman. 2019. “Learning Single‐cell Distances from Cytometry Data.” CYTOMETRY PART A 95: 782–91. https://doi.org/10.1002/cyto.a.23792.
Chicago author-date (all authors)
Nguyen Cong, Bac, Peter Rubbens, Frederiek-Maarten Kerckhof, Nico Boon, Bernard De Baets, and Willem Waegeman. 2019. “Learning Single‐cell Distances from Cytometry Data.” CYTOMETRY PART A 95: 782–791. doi:10.1002/cyto.a.23792.
Vancouver
1.
Nguyen Cong B, Rubbens P, Kerckhof F-M, Boon N, De Baets B, Waegeman W. Learning single‐cell distances from cytometry data. CYTOMETRY PART A. 2019;95:782–91.
IEEE
[1]
B. Nguyen Cong, P. Rubbens, F.-M. Kerckhof, N. Boon, B. De Baets, and W. Waegeman, “Learning single‐cell distances from cytometry data,” CYTOMETRY PART A, vol. 95, pp. 782–791, 2019.
@article{8626850,
  author       = {{Nguyen Cong, Bac and Rubbens, Peter and Kerckhof, Frederiek-Maarten and Boon, Nico and De Baets, Bernard and Waegeman, Willem}},
  issn         = {{1552-4922}},
  journal      = {{CYTOMETRY PART A}},
  keywords     = {{metric learning,flow cytometry,mass cytometry,microbiology,synthetic microbial communities,transfer learning,FLOW-CYTOMETRY,MASS CYTOMETRY,AUTOMATED-ANALYSIS,IDENTIFICATION,VISUALIZATION,IMMUNE}},
  language     = {{eng}},
  pages        = {{782--791}},
  title        = {{Learning single‐cell distances from cytometry data}},
  url          = {{http://doi.org/10.1002/cyto.a.23792}},
  volume       = {{95}},
  year         = {{2019}},
}

Altmetric
View in Altmetric
Web of Science
Times cited: