- Author
- Bac Nguyen Cong (UGent) , Peter Rubbens, Frederiek-Maarten Kerckhof (UGent) , Nico Boon (UGent) , Bernard De Baets (UGent) and Willem Waegeman (UGent)
- Organization
- Keywords
- metric learning, flow cytometry, mass cytometry, microbiology, synthetic microbial communities, transfer learning, FLOW-CYTOMETRY, MASS CYTOMETRY, AUTOMATED-ANALYSIS, IDENTIFICATION, VISUALIZATION, IMMUNE
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8626850
- 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}}, }
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