Computationally efficient multi-sample flow cytometry data analysis using Gaussian mixture models.
- DOI
- 10.1186/s12859-025-06285-z
- Published
- 2025 Oct 23
- Container
- BMC bioinformatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12859-025-06285-z,
title = {Computationally efficient multi-sample flow cytometry data analysis using Gaussian mixture models.},
author = {Rutten P and Mocking TR and Cloos J and van Wieringen WN and Bachas C},
year = {2025},
journal = {BMC bioinformatics},
doi = {10.1186/s12859-025-06285-z},
url = {https://doi.org/10.1186/s12859-025-06285-z}
}RIS
TY - JOUR TI - Computationally efficient multi-sample flow cytometry data analysis using Gaussian mixture models. AU - Rutten P AU - Mocking TR AU - Cloos J AU - van Wieringen WN AU - Bachas C PY - 2025 JO - BMC bioinformatics DO - 10.1186/s12859-025-06285-z UR - https://doi.org/10.1186/s12859-025-06285-z ER -
APA
P, R., TR, M., J, C., WN, V. W., & C, B. (2025). Computationally efficient multi-sample flow cytometry data analysis using Gaussian mixture models.. BMC bioinformatics. https://doi.org/10.1186/s12859-025-06285-z
Source records
- pubmed · retrieved 2026-11-10T15:12:15.443Z